A survey on the use of topic models when mining software repositories (original) (raw)

• Abebe SL, Alicante A, Corazza A, Tonella P (2013) Supporting concept location through identifier parsing and ontology extraction. J Syst Softw 86 (11):2919–2938
  Article Google Scholar
• Ahsan SN, Ferzund J, Wotawa F (2009) Automatic software bug triage system (BTS) based on Latent Semantic Indexing and Support Vector Machine. In: Proceedings of the 4th international conference on software engineering advances, pp 216–221
• Alhindawi N, Dragan N, Collard M, Maletic J (2013a) Improving feature location by enhancing source code with stereotypes. In: Proceedings of the 2013 29th IEEE international conference on software maintenance, pp 300–309
• Alhindawi N, Meqdadi O, Bartman B, Maletic J (2013b) A tracelab-based solution for identifying traceability links using lsi. In: Proceedings of 2013 international workshop on traceability in emerging forms of software engineering (TEFSE), pp 79–82
• Ali N, Sabane A, Gueheneuc Y, Antoniol G (2012) Improving bug location using binary class relationships. In: Proceedings of the 2012 IEEE 12th international working conference on source code analysis and manipulation, pp 174–183
• Ali N, Sharafi Z, Gueheneuc Y-G, Antoniol G (2014) An empirical study on the importance of source code entities for requirements traceability. Empirical Softw Eng 20:442–478
• Alipour A, Hindle A, Stroulia E (2013) A contextual approach towards more accurate duplicate bug report detection. In: Proceedings of the 10th working conference on mining software repositories. MSR ’13, pp 183–192
• Allamanis M., Sutton C (2013) Why, when, and what: analyzing stack overflow questions by topic, type, and code. In: Proceedings of the 10th working conference on mining software repositories. MSR ’13, pp 53–56
• Andrzejewski D, Mulhern A, Liblit B, Zhu X (2007) Statistical debugging using latent topic models. In: Proceedings of the 18th European conference on machine learning, pp 6–17
• Anthes G (2010) Topic models vs. unstructured data. Commun ACM 53:16–18
  Google Scholar
• Antoniol G, Hayes JH, Gueheneuc YG, Di Penta M (2008) Reuse or rewrite: combining textual, static, and dynamic analyses to assess the cost of keeping a system up-to-date. In: Proceedings of the 24th international conference on software maintenance, pp 147–156
• Asadi F, Antoniol G, Gueheneuc Y-G (2010a) Concept location with genetic algorithms: a comparison of four distributed architectures. In: Proceedings of the 2nd international symposium on search based software engineering. SSBSE ’10, pp 153–162
• Asadi F, Di Penta M, Antoniol G, Guéhéneuc Y-G (2010b) A heuristic-based approach to identify concepts in execution traces. In: Proceedings of the 2010 14th European conference on software maintenance and reengineering (CSMR), pp 31–40
• Asuncion HU, Asuncion AU, Taylor RN (2010) Software traceability with topic modeling. In: Proceedings of the 32nd international conference on software engineering, pp 95–104
• Baeza-Yates R, Ribeiro-Neto B (1999) Modern information retrieval, vol 463. ACM Press, New York
  Google Scholar
• Bajaj K, Pattabiraman K, Mesbah A (2014) Mining questions asked by web developers. In: Proceedings of the 11th working conference on mining software repositories. MSR 2014, pp 112–121
• Bajracharya S, Lopes C (2009) Mining search topics from a code search engine usage log. In: Proceedings of the 6th international working conference on mining software repositories, pp 111–120
• Bajracharya SK, Lopes CV (2010) Analyzing and mining a code search engine usage log. Empir Softw Eng 17:1–43
• Baldi PF, Lopes CV, Linstead EJ, Bajracharya SK (2008) A theory of aspects as latent topics. ACM SIGPLAN Not 43(10):543–562
  Article Google Scholar
• Barnard K, Duygulu P, Forsyth D, De Freitas N, Blei DM, Jordan MI (2003) Matching words and pictures. J Mach Learn Res 3:1107–1135
  MATH Google Scholar
• Bartholomew DJ (1987) Latent variable models and factors analysis. Oxford University Press Inc., New York
  MATH Google Scholar
• Barua A, Thomas SW, Hassan AE (2012) What are developers talking about? An analysis of topics and trends in Stack Overflow. Empir Softw Eng 19:619–654
• Bassett B, Kraft N (2013) Structural information based term weighting in text retrieval for feature location. In: Proceedings of the 2013 21st IEEE international conference on program comprehension , pp 133–141
• Bavota G, De Lucia A, Marcus A, Oliveto R (2010) A two-step technique for extract class refactoring. In: Proceedings of the 25th international conference on automated software engineering, pp 151–154
• Bavota G, Lucia AD, Marcus A, Oliveto R (2012) Using structural and semantic measures to improve software modularization. Empir Softw Eng 18:901–932
• Bavota G, De Lucia A, Oliveto R, Panichella A, Ricci F, Tortora G (2013) The role of artefact corpus in lsi-based traceability recovery. In: Proceedings of the 2013 international workshop on traceability in emerging forms of software engineering, pp 83–89
• Bavota G, Oliveto R, Gethers M, Poshyvanyk D, De Lucia A (2014) Methodbook: recommending move method refactorings via relational topic models. IEEE Trans Softw Eng 40(7):671–694
  Article Google Scholar
• Beard M, Kraft N, Etzkorn L, Lukins S (2011) Measuring the accuracy of information retrieval based bug localization techniques. In: Proceedings of the 2011 18th working conference on reverse engineering. WCRE ’11, pp 124–128
• Bellon S, Koschke R, Antoniol G, Krinke J, Merlo E (2007) Comparison and evaluation of clone detection tools. IEEE Trans Softw Eng 33:577–591
• Bettenburg N, Adams B (2010) Workshop on Mining Unstructured Data (MUD) because “Mining Unstructured Data is like fishing in muddy waters! In: Proceedings of the 17th working conference on reverse engineering, pp 277–278
• Biggers LR, Bocovich C, Capshaw R, Eddy BP, Etzkorn LH, Kraft NA (2014) Configuring latent dirichlet allocation based feature location. Empir Softw Eng 19(3):465–500
  Article Google Scholar
• Binkley D, Lawrie D, Uehlinger C (2012) Vocabulary normalization improves ir-based concept location. In: Proceedings of the 2012 28th IEEE international conference on software maintenance, pp 588–591
• Binkley D, Heinz D, Lawrie D, Overfelt J (2014) Understanding lda in source code analysis. In: Proceedings of the 22nd international conference on program comprehension. ICPC 2014, pp 26–36
• Bishop CM (1998) Latent variable models. Learning in graphical models
• Blei DM, Lafferty JD (2006) Dynamic topic models. In: Proceedings of the 23rd international conference on Machine learning. ACM, pp 113–120
• Blei DM, Lafferty JD (2007) A correlated topic model of science. Ann Appl Stat 1(1):17–35
  Article MathSciNet MATH Google Scholar
• Blei DM, Lafferty JD (2009) Topic models. In: Text mining: classification, clustering, and applications. Chapman & Hall, London, pp 71–94
• Blei DM, McAuliffe J (2008) Supervised topic models. Adv Neural Inf Proc Syst 20:121–128
  Google Scholar
• Blei DM, Ng AY, Jordan MI (2003) Latent Dirichlet allocation. J Mach Learn Res 3:993–1022
  MATH Google Scholar
• Blei D, Griffiths TL, Jordan MI, Tenenbaum JB (2004) Hierarchical topic models and the nested Chinese restaurant process. Adv Neural Inf Proc Syst 16:106
  Google Scholar
• Blei DM, Griffiths TL, Jordan MI (2010) The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies. J ACM 57(2):1–30
  Article MathSciNet MATH Google Scholar
• Blumberg R, Atre S (2003) The problem with unstructured data. DM Rev 13:42–49
  Google Scholar
• Borg M, Runeson P, Ardö A (2014) Recovering from a decade: a systematic mapping of information retrieval approaches to software traceability. Empir Softw Eng 19(6):1565–1616
  Article Google Scholar
• Bose JC, Suresh U (2008) Root cause analysis using sequence alignment and Latent Semantic Indexing. In: Proceedings of the 19th Australian conference on software engineering, pp 67–376
• Bradford RB (2008) An empirical study of required dimensionality for large-scale latent semantic indexing applications. In: Proceedings of the 17th ACM conference on information and knowledge management. CIKM ’08, pp 153–162
• Brickey J, Walczak S, Burgess T (2012) Comparing semi-automated clustering methods for persona development. IEEE Trans Softw Eng 38(3):537–546
  Article Google Scholar
• Campbell J-C, Zhang C, Xu Z, Hindle A, Miller J (2013) Deficient documentation detection a methodology to locate deficient project documentation using topic analysis. In: Proceedings of the 2013 10th IEEE working conference on mining software repositories, pp 57–60
• Canfora G, Cerulo L, Cimitile M, Di Penta M (2014) How changes affect software entropy: an empirical study. Empir Softw Eng 19(1):1–38
  Article Google Scholar
• Capobianco G, De Lucia A, Oliveto R, Panichella A, Panichella S (2009) Traceability recovery using numerical analysis. In: Proceedings of the 16th working conference on reverse engineering, pp 195–204
• Carpineto C, Romano G (2012) A survey of automatic query expansion in information retrieval. ACM Comput Surv 44(1):1–50
  Article MATH Google Scholar
• Chang J, Blei DM (2009) Relational topic models for document networks. In: Proceedings of the 12th international conference on artificial intelligence and statistics, pp 81–88
• Chang J, Boyd-Graber J, Blei DM (2009) Connections between the lines: augmenting social networks with text. In: Proceedings of the 15th international conference on knowledge discovery and data mining, pp 169–178
• Chen T-H, Thomas SW, Nagappan M, Hassan AE (2012) Explaining software defects using topic models. In: Proceedings of the 2012 9th IEEE working conference on mining software repositories. MSR ’12, pp 189–198
• Chen T-H, Thomas SW, Hemmati H, Nagappan M, Hassan AE (2015) An empirical study on topic defect-proneness and testedness. In: under submission
• Cleary B, Exton C, Buckley J, English M (2008) An empirical analysis of information retrieval based concept location techniques in software comprehension. Empir Softw Eng 14(1):93–130
  Article Google Scholar
• Comon P (1994) Independent component analysis, a new concept? Sig Process 36(3):287–314
  Article MATH Google Scholar
• Corley C, Kammer E, Kraft N (2012) Modeling the ownership of source code topics. In: Proceedings of the 2012 IEEE 20th international conference on program comprehension, pp 173–182
• Dallmeier V, Zimmermann T (2007) Extraction of bug localization benchmarks from history. In: Proceedings of the 22nd international conference on automated software engineering, pp 433–436
• Dasgupta T, Grechanik M, Moritz E, Dit B, Poshyvanyk D (2013) Enhancing software traceability by automatically expanding corpora with relevant documentation. In: Proceedings of the 2013 IEEE international conference on software maintenance. ICSM ’13, pp 320–329
• de Boer RC, van Vliet H (2008) Architectural knowledge discovery with Latent Semantic Analysis: constructing a reading guide for software product audits. J Syst Softw 81(9):1456–1469
  Article Google Scholar
• De Lucia A, Fasano F, Oliveto R, Tortora G (2004) Enhancing an artefact management system with traceability recovery features. In: Proceedings of the 20th international conference on software maintenance, pp 306–315
• De Lucia A, Fasano F, Oliveto R, Tortora G (2006) Can information retrieval techniques effectively support traceability link recovery? In: Proceedings of the 14th international conference on program comprehension, pp 307–316
• De Lucia A, Fasano F, Oliveto R, Tortora G (2007) Recovering traceability links in software artifact management systems using information retrieval methods. ACM Trans Softw Eng Methodol 16(4):13–50
• De Lucia A, Di Penta M, Oliveto R, Panichella A, Panichella S (2011) Improving ir-based traceability recovery using smoothing filters. In: Proceedings of the 2011 IEEE 19th international conference on program comprehension, pp 21–30
• De Lucia A, Di Penta M, Oliveto R, Panichella A, Panichella S (2012) Using ir methods for labeling source code artifacts: is it worthwhile? In: Proceedings of the 2012 20th international conference on program comprehension, pp 193–202
• De Lucia A, Di Penta M, Oliveto R, Panichella A, Panichella S (2014) Labeling source code with information retrieval methods: an empirical study. Empir Softw Eng 19:1–38
• Deerwester S, Dumais ST, Furnas GW, Landauer TK, Harshman R (1990) Indexing by latent semantic analysis. J Am Soc Inf Sci 41(6):391–407
  Article Google Scholar
• Dietterich TG (2000) Ensemble methods in machine learning. In: Proceedings of the first international workshop on multiple classifier systems. MCS ’00, pp 1–15
• Dit B, Poshyvanyk D, Marcus A (2008) Measuring the semantic similarity of comments in bug reports. In: Proceedings 1st international workshop on semantic technologies in system maintenance
• Dit B, Panichella A, Moritz E, Oliveto R, Di Penta M, Poshyvanyk D, De Lucia A (2013a) Configuring topic models for software engineering tasks in tracelab. In: Proceedings of the 2013 international workshop on traceability in emerging forms of software engineering, pp 105–109
• Dit B, Revelle M, Poshyvanyk D (2013b) Integrating information retrieval, execution and link analysis algorithms to improve feature location in software. Empir Softw Eng 18(2):277–309
  Article Google Scholar
• Dit B, Moritz E, Linares-Vásquez M, Poshyvanyk D (2013c) Supporting and accelerating reproducible research in software maintenance using tracelab component library. In: Proceedings of the 2013 IEEE international conference on software maintenance. ICSM ’13, pp 330–339
• Dit B, Moritz E, Linares-Vásquez M, Poshyvanyk D, Cleland-Huang J (2014) Supporting and accelerating reproducible empirical research in software evolution and maintenance using tracelab component library. Empir Softw Eng 1–39
• Eddy B, Robinson J, Kraft N, Carver J (2013) Evaluating source code summarization techniques: replication and expansion. In: Proceedings of 2013 IEEE 21st international conference on program comprehension, pp 13–22
• Eyal-Salman H, Seriai A-D, Dony C (2013) Feature-to-code traceability in legacy software variants. In: Proceedings of 2013 39th EUROMICRO conference on the software engineering and advanced applications, pp 57–61
• Flaherty P, Giaever G, Kumm J, Jordan MI, Arkin AsP (2005) A latent variable model for chemogenomic profiling. Bioinformatics 21(15):3286
  Article Google Scholar
• Gall CS, Lukins S, Etzkorn L, Gholston S, Farrington P, Utley D, Fortune J, Virani S (2008) Semantic software metrics computed from natural language design specifications. IET Softw 2(1):17–26
  Article Google Scholar
• Galvis Carreño LV, Winbladh K (2013) Analysis of user comments: an approach for software requirements evolution. In: Proceedings of the 2013 international conference on software engineering. ICSE ’13, pp 582–591
• Gamma E (2007) JHotDraw. http://www.jhotdraw.org/
• Gethers M, Poshyvanyk D (2010) Using relational topic models to capture coupling among classes in object-oriented software systems. In: Proceedings of the 26th international conference on software maintenance, pp 1–10
• Gethers M, Kagdi H, Dit B, Poshyvanyk D (2011a) An adaptive approach to impact analysis from change requests to source code. In: Proceedings of the 2011 26th IEEE/ACM international conference on automated software engineering, pp 540–543
• Gethers M, Savage T, Di Penta M, Oliveto R, Poshyvanyk D, De Lucia A (2011b) Codetopics: which topic am I coding now? In: Proceedings of the 33rd international conference on software engineering. ICSE ’11, pp 1034–1036
• Gethers M, Oliveto R, Poshyvanyk D, Lucia A (2011c) On integrating orthogonal information retrieval methods to improve traceability recovery. In: Proceedings of the 27th international conference on software maintenance, pp 133–142
• Gethers M, Oliveto R, Poshyvanyk D, Lucia AD (2011d) On integrating orthogonal information retrieval methods to improve traceability recovery. In: Proceedings of the 2011 27th international conference on software maintenance. ICSM ’11, pp 133–142
• Gethers M, Dit B, Kagdi H, Poshyvanyk D (2012) Integrated impact analysis for managing software changes. In: Proceedings of the 2012 34th international conference on software engineering, pp 430–440
• Godfrey MW, Hassan AE, Herbsleb J, Murphy GC, Robillard M, Devanbu P, Mockus A, Perry DE, Notkin D (2008) Future of mining software archives: a roundtable. IEEE Softw 26(1):67–70
  Article Google Scholar
• Gorla A, Tavecchia I, Gross F, Zeller A (2014) Checking app behavior against app descriptions. In: Proceedings of the 36th international conference on software engineering. ICSE 2014, pp 1025–1035
• Grant S, Cordy JR (2009) Vector space analysis of software clones. In: Proceedings of the 17th international conference on program comprehension, pp 233–237
• Grant S, Cordy JR (2010) Estimating the optimal number of latent concepts in source code analysis. In: Proceedings of the 10th international working conference on source code analysis and manipulation, pp 65–74
• Grant S, Cordy J (2014) Examining the relationship between topic model similarity and software maintenance. In: Proceedings of the 2014 software evolution week—IEEE conference on software maintenance, reengineering and reverse engineering (CSMR-WCRE), pp 303–307
• Grant S, Cordy JR, Skillicorn D (2008) Automated concept location using independent component analysis. In: Proceedings of the 15th working conference on reverse engineering, pp 138–142
• Grant S, Martin D, Cordy J, Skillicorn D (2011a) Contextualized semantic analysis of web services. In: Proceedings of the 2011 13th IEEE international symposium on web systems evolution, pp 33–42
• Grant S, Cordy JR, Skillicorn DB (2011b) Reverse engineering co-maintenance relationships using conceptual analysis of source code. In: Proceedings of the 2011 18th working conference on reverse engineering. WCRE ’11, pp 87–91
• Grant S, Cordy J, Skillicorn D (2012) Using topic models to support software maintenance. In: Proceedings of 2012 16th European conference on the software maintenance and reengineering (CSMR) , pp 403–408
• Grechanik M, Fu C, Xie Q, McMillan C, Poshyvanyk D, Cumby C (2010) A search engine for finding highly relevant applications. In: Proceedings of the 32nd international conference on software engineering, pp 475–484
• Griffiths TL, Steyvers M (2004) Finding scientific topics. Proc Natl Acad Sci 101:5228–5235
  Article Google Scholar
• Griffiths TL, Steyvers M, Tenenbaum JB (2007) Topics in semantic representation. Psychol Rev 114(2):211–244
  Article Google Scholar
• Grimes S (2008) Unstructured data and the 80 percent rule. Clarabridge Bridgepoints
• Guo W, Diab M (2012) Modeling sentences in the latent space. In: Proceedings of the 50th annual meeting of the association for computational linguistics: long papers—volume 1. ACL ’12, pp 864–872
• Haiduc S, Bavota G, Marcus A, Oliveto R, De Lucia A, Menzies T (2013) Automatic query reformulations for text retrieval in software engineering. In: Proceedings of the 2013 international conference on software engineering. ICSE ’13, pp 842–851
• Hall D, Jurafsky D, Manning CD (2008) Studying the history of ideas using topic models. In: Proceedings of the conference on empirical methods in natural language processing. ACL, pp 363–371
• Han D, Zhang C, Fan X, Hindle A, Wong K, Stroulia E (2012) Understanding android fragmentation with topic analysis of vendor-specific bugs. In: Proceedings of the 2012 19th working conference on reverse engineering. WCRE ’12, pp 83–92
• Hassan AE (2004) Mining software repositories to assist developers and support managers. Ph.D. thesis, University of Waterloo, Waterloo
• Hassan AE (2008) The road ahead for mining software repositories. In: Frontiers of software maintenance, pp 48–57
• Hassan AE, Holt RC (2005) The top ten list: dynamic fault prediction. In: Proceedings of the 21st international conference on software maintenance, pp 263–272
• Hassan AE, Xie T (2010) Software intelligence: the future of mining software engineering data. In: Proceedings of the FSE/SDP workshop on future of software engineering research, pp 161–166
• Hayes JH, Dekhtyar A, Sundaram SK (2006) Advancing candidate link generation for requirements tracing: the study of methods. IEEE Trans Softw Eng IEEE Trans 4–19
• Hindle A, Godfrey MW, Holt RC (2009) What’s hot and what’s not: windowed developer topic analysis. In: Proceedings of the 25th international conference on software maintenance, pp 339–348
• Hindle A, Godfrey MW, Holt RC (2010) Software process recovery using recovered unified process views. In: Proceedings of the 26th international conference on software maintenance, pp 1–10
• Hindle A, Ernst NA, Godfrey MW, Mylopoulos J (2011) Automated topic naming to support cross-project analysis of software maintenance activities. In: Proceedings of the 8th working conference on mining software repositories. MSR ’11, pp 163–172
• Hindle A, Ernst NA, Godfrey MW, Mylopoulos J (2012a) Automated topic naming—supportin cross-project analysis of software maintenance activities. Empir Softw Eng
• Hindle A, Barr ET, Su Z, Gabel M, Devanbu PT (2012b) On the naturalness of software. In: Proceedings of the 34th international conference on software engineering, pp 837–847
• Hindle A, Bird C, Zimmermann T, Nagappan N (2012c) Relating requirements to implementation via topic analysis: do topics extracted from requirements make sense to managers and developers? In: Proceedings of the 2012 28th IEEE international conference on software maintenance, pp 243–252
• Hindle A, Bird C, Zimmermann T, Nagappan N (2014) Do topics make sense to managers and developers? Empir Softw Eng 20:479–515
• Hofmann T (1999) Probabilistic latent semantic indexing. In: Proceedings of the 22nd international conference on research and development in information retrieval, pp 50–57
• Hofmann T (2001) Unsupervised learning by probabilistic latent semantic analysis. Mach Learn 42(1):177–196
  Article MATH Google Scholar
• Hu W, Wong K (2013) Using citation influence to predict software defects. In: Proceedings of the 2013 10th IEEE working conference on mining software repositories, pp 419–428
• Hu X, Cai Z, Franceschetti D, Penumatsa P, Graesser AC (2003) LSA: the first dimension and dimensional weighting. In: Proceedings of the 25th meeting of the Cognitive Science Society, Boston. Cognitive Science Society, pp 1–6
• Iacob C, Harrison R (2013) Retrieving and analyzing mobile apps feature requests from online reviews. In: Proceedings of the 2013 10th IEEE working conference on mining software repositories, pp 41–44
• Islam M, Marchetto A, Susi A, Kessler F, Scanniello G (2012a) Motcp: a tool for the prioritization of test cases based on a sorting genetic algorithm and latent semantic indexing. In: Proceedings of the 2012 28th IEEE international conference on software maintenance (ICSM), pp 654–657
• Islam M, Marchetto A, Susi A, Scanniello G (2012b) A multi-objective technique to prioritize test cases based on latent semantic indexing. In: Proceedings of the 2012 16th European conference on software maintenance and reengineering, pp 21–30
• Jiang H, Nguyen TN, Chen I, Jaygarl H, Chang C (2008) Incremental Latent Semantic Indexing for automatic traceability link evolution management. In: Proceedings of the 23rd international conference on automated software engineering, pp 59–68
• Jin O, Liu NN, Zhao K, Yu Y, Yang Q (2011) Transferring topical knowledge from auxiliary long texts for short text clustering. In: Proceedings of the 20th ACM international conference on information and knowledge management. CIKM ’11, pp 775–784
• Jolliffe I (2002) Principal component analysis. Springer, New York
  MATH Google Scholar
• Kagdi H, Gethers M, Poshyvanyk D, Collard M (2010) Blending conceptual and evolutionary couplings to support change impact analysis in source code. In: Proceedings of the 17th working conference on reverse engineering, pp 119–128
• Kagdi H, Gethers M, Poshyvanyk D, Hammad M (2012a) Assigning change requests to software developers. J Softw Evol Process 24(1):3–33
  Article Google Scholar
• Kagdi H, Gethers M, Poshyvanyk D (2012b) Integrating conceptual and logical couplings for change impact analysis in software. Empir Softw Eng 18:933–969
• Kamei Y, Matsumoto S, Monden A, Matsumoto K, Adams B, Hassan AE (2010) Revisiting common bug prediction findings using effort-aware models. In: Proceedings of the 26th international conference on software maintenance, pp 1–10
• Kaushik N., Tahvildari L (2012) A comparative study of the performance of ir models on duplicate bug detection. In: Proceedings of the 2012 16th European conference on software maintenance and reengineering. CSMR ’12, pp 159–168
• Kaushik N, Tahvildari L, Moore M (2011) Reconstructing traceability between bugs and test cases: an experimental study. In: Proceedings of the 2011 18th working conference on reverse engineering. WCRE ’11, pp 411–414
• Kawaguchi S, Garg PK, Matsushita M, Inoue K (2006) Mudablue: an automatic categorization system for open source repositories. J Syst Softw 79(7):939–953
  Article Google Scholar
• Kelly M, Alexander J, Adams B, Hassan A (2011) Recovering a balanced overview of topics in a software domain. In: Proceedings of the 2011 11th IEEE international working conference on source code analysis and manipulation (SCAM), pp 135–144
• Kitchenham BA, Budgen D, Pearl Brereton O (2011) Using mapping studies as the basis for further research—a participant-observer case study. Inf Softw Technol 53(6):638–651
  Article Google Scholar
• Kouters E, Vasilescu B, Serebrenik A, van den Brand M (2012) Who’s who in gnome: using lsa to merge software repository identities. In: Proceedings of the 2012 28th IEEE international conference on software maintenance, pp 592–595
• Kuhn A, Ducasse S, Girba T (2005) Enriching reverse engineering with semantic clustering. In: Proceedings of the 12th working conference on reverse engineering, pp 133–142
• Kuhn A, Ducasse S, Girba T (2007) Semantic clustering: identifying topics in source code. Inf Softw Technol 49(3):230–243
  Article Google Scholar
• Kuhn A, Loretan P, Nierstrasz O (2008) Consistent layout for thematic software maps. In: Proceedings of the 15th working conference on reverse engineering, pp 209–218
• Kuhn A, Erni D, Loretan P, Nierstrasz O (2010) Software cartography: thematic software visualization with consistent layout. J Softw Maint Evol Res Pract 22:191–210
• Le T-D, Wang S, Lo D (2013) Multi-abstraction concern localization. In: Proceedings of the 2013 29th IEEE international conference on software maintenance (ICSM), pp 364–367
• Lehman MM (1980) Programs, life cycles, and laws of software evolution. Proc IEEE 68(9):1060–1076
  Article Google Scholar
• Li W, McCallum A (2006) Pachinko allocation: DAG-structured mixture models of topic correlations. In: Proceedings of the 23rd international conference on machine learning, pp 577–584
• Limsettho N, Hata H, Matsumoto K-I (2014) Comparing hierarchical dirichlet process with latent dirichlet allocation in bug report multiclass classification. In: Proceedings of 2014 15th IEEE/ACIS international conference on software engineering, artificial intelligence, networking and parallel/distributed computing (SNPD), pp 1–6
• Lin MY, Amor R, Tempero E (2006) A Java reuse repository for Eclipse using LSI. In: Proceedings of the 2006 Australian software engineering conference, pp 351–362
• Linares-Vásquez M, Dit B, Poshyvanyk D (2013) An exploratory analysis of mobile development issues using Stack Overflow. In: Proceedings of the 10th working conference on mining software repositories. MSR ’13, pp 93–96
• Linstead E, Baldi P (2009) Mining the coherence of GNOME bug reports with statistical topic models. In: Proceedings of the 6th working conference on mining software repositories, pp 99–102
• Linstead E, Rigor P, Bajracharya S, Lopes C, Baldi P (2007a) Mining concepts from code with probabilistic topic models. In: Proceedings of the 22nd international conference on automated software engineering, pp 461–464
• Linstead E, Rigor P, Bajracharya S, Lopes C, Baldi P (2007b) Mining Eclipse developer contributions via author-topic models. In: Proceedings of the 4th international workshop on mining software repositories, pp 30–33
• Linstead E, Lopes C, Baldi P (2008a) An application of latent Dirichlet allocation to analyzing software evolution. In: Proceedings of the 7th international conference on machine learning and applications, pp 813–818
• Linstead E, Rigor P, Bajracharya S, Lopes C, Baldi P (2008b) Mining internet-scale software repositories. In: Advances in neural information processing systems, vol 2007, pp 929–936
• Linstead E, Bajracharya S, Ngo T, Rigor P, Lopes C, Baldi P (2008c) Sourcerer: mining and searching internet-scale software repositories. Data Min Knowl Disc 18(2):300–336
  Article MathSciNet Google Scholar
• Linstead E, Hughes L, Lopes C, Baldi P (2009) Software analysis with unsupervised topic models. In: NIPs workshop on application of topic models: text and beyond
• Liu Y, Poshyvanyk D, Ferenc R, Gyimothy T, Chrisochoides N (2009) Modeling class cohesion as mixtures of latent topics. In: Proceedings of the 25th international conference on software maintenance, pp 233–242
• Loehlin JC (1987) Latent variable models. Erlbaum Hillsdale
• Lohar S, Amornborvornwong S, Zisman A, Cleland-Huang J (2013) Improving trace accuracy through data-driven configuration and composition of tracing features. In: Proceedings of the 2013 9th joint meeting on foundations of software engineering. ESEC/FSE 2013, pp 378–388
• Lormans M (2007) Monitoring requirements evolution using views. In: Proceedings of the 11th European conference on software maintenance and reengineering, pp 349–352
• Lormans M, Van Deursen A (2006) Can LSI help reconstructing requirements traceability in design and test? In: Proceedings of 10th European conference on software maintenance and reengineering, pp 47–56
• Lormans M, Gross HG, van Deursen A, van Solingen R (2006) Monitoring requirements coverage using reconstructed views: an industrial case study. In: Proceedings of the 13th working conference on reverse engineering, pp 275–284
• Lormans M, Deursen A, Gross H-G (2008) An industrial case study in reconstructing requirements views. Empir Softw Eng 13(6):727–760
  Article Google Scholar
• Lukins SK, Kraft NA, Etzkorn LH (2008) Source code retrieval for bug localization using latent Dirichlet allocation. In: Proceedings of the 15th working conference on reverse engineering, pp 155–164
• Lukins SK, Kraft NA, Etzkorn LH (2010) Bug localization using latent Dirichlet allocation. Inf Softw Technol 52(9):972–990
  Article Google Scholar
• Madsen R, Sigurdsson S, Hansen L, Larsen J (2004) Pruning the vocabulary for better context recognition. In: Proceedings of the 17th international conference on pattern recognition, pp 483–488
• Maletic JI, Marcus A (2001) Supporting program comprehension using semantic and structural information. In: Proceedings of the 23rd international conference on software engineering, pp 103–112
• Maletic JI, Valluri N (1999) Automatic software clustering via Latent Semantic Analysis. In: Proceeding of the 14th international conference on automated software engineering, pp 251–254
• Manning CD, Raghavan P, Schutze H (2008) Introduction to information retrieval, vol 1. University Press Cambridge, Cambridge
  Book MATH Google Scholar
• Marcus A (2004) Semantic driven program analysis. In: Proceedings of the 20th international conference on software maintenance, pp 469–473
• Marcus A, Maletic JI (2001) Identification of high-level concept clones in source code. In: Proceedings of the 16th international conference on automated software engineering, pp 107–114
• Marcus A, Maletic JI (2003) Recovering documentation-to-source-code traceability links using Latent Semantic Indexing. In: Proceedings of the 25th international conference on software engineering, pp 125–135
• Marcus A, Sergeyev A, Rajlich V, Maletic JI (2004) An information retrieval approach to concept location in source code. In: Proceedings of the 11th working conference on reverse engineering, pp 214–223
• Marcus A, Rajlich V, Buchta J, Petrenko M, Sergeyev A (2005) Static techniques for concept location in object-oriented code. In: Proceedings of the 13th international workshop on program comprehension, pp 33–42
• Marcus A, Poshyvanyk D, Ferenc R (2008) Using the conceptual cohesion of classes for fault prediction in object-oriented systems. IEEE Trans Softw Eng 34 (2):287–300
  Article Google Scholar
• Maskeri G, Sarkar S, Heafield K (2008) Mining business topics in source code using latent Dirichlet allocation. In: Proceedings of the 1st conference on India software engineering conference, pp 113–120
• McCallum AK (2002) Mallet: a machine learning for language toolkit. http://mallet.cs.umass.edu
• McIlroy S, Ali N, Khalid H, E Hassan A (2015) Analyzing and automatically labelling the types of user issues that are raised in mobile app reviews. Empir Softw Eng 1–40
• McMillan C, Poshyvanyk D, Revelle M (2009) Combining textual and structural analysis of software artifacts for traceability link recovery. In: Proceedings of the ICSE workshop on traceability in emerging forms of software engineering, pp 41–48
• Medini S (2011) Scalable automatic concept mining from execution traces. In: Proceedings of the 2011 19th international conference on program comprehension (ICPC), pp 238–241
• Medini S, Antoniol G, Gueheneuc Y, Di Penta M, Tonella P (2012) Scan: an approach to label and relate execution trace segments. In: Proceedings of 2012 19th working conference on the reverse engineering (WCRE), pp 135–144
• Mei Q, Zhai CX (2005) Discovering evolutionary theme patterns from text: an exploration of temporal text mining. In: Proceedings of the 11th international conference on knowledge discovery in data mining, pp 198–207
• Mei Q, Shen X, Zhai CX (2007) Automatic labeling of multinomial topic models. In: Proceedings of the 13th international conference on Knowledge discovery and data mining, pp 490–499
• Mei Q, Cai D, Zhang D, Zhai CX (2008) Topic modeling with network regularization. In: Proceeding of the 17th international conference on World Wide Web, pp 101–110
• Miller GA (1995) WordNet: a lexical database for english. Commun ACM 38 (11):39–41
  Article Google Scholar
• Mimno D, Wallach HM, Naradowsky J, Smith DA, McCallum A (2009) Polylingual topic models. In: Proceedings of the 2009 conference on empirical methods in natural language processing, pp 880–889
• Misirli AT, Bener AB, Turhan B (2011) An industrial case study of classifier ensembles for locating software defects. Softw Qual J 19(3):515–536
  Article Google Scholar
• Misra J, Das S (2013) Entity disambiguation in natural language text requirements. In: Proceedings of the 2013 20th Asia-Pacific software engineering conference (APSEC), vol 1, pp 239–246
• Misra J, Annervaz KM, Kaulgud V, Sengupta S, Titus G (2012) Software clustering: unifying syntactic and semantic features. In: Proceedings of the 2012 19th working conference on reverse engineering, pp 113–122
• Moritz E, Linares-Vasquez M, Poshyvanyk D, Grechanik M, McMillan C, Gethers M (2013) Export: detecting and visualizing api usages in large source code repositories. In: Proceedings of the 2013 IEEE/ACM 28th international conference on automated software engineering, pp 646–651
• Naguib H, Narayan N, Brugge B, Helal D (2013) Bug report assignee recommendation using activity profiles. In: Proceedings of the 2013 10th IEEE working conference on mining software repositories, pp 22–30
• Neuhaus S, Zimmermann T (2010) Security trend analysis with CVE topic models. In: Proceedings of the 21st international symposium on software reliability engineering, pp 111–120
• Newman D, Lau JH, Grieser K, Baldwin T (2010) Automatic evaluation of topic coherence. In: Human language technologies: the 2010 annual conference of the North American chapter of the association for computational linguistics. HLT ’10, pp 100–108
• Nguyen TH, Adams B, Hassan AE (2010) A case study of bias in bug-fix datasets. In: Proceedings of the 17th working conference on reverse engineering, pp 259–268
• Nguyen AT, Nguyen TT, Al-Kofahi J, Nguyen HV, Nguyen TN (2011a) A topic-based approach for narrowing the search space of buggy files from a bug report. In: Proceedings of the 26th international conference on automated software engineering, pp 263–272
• Nguyen TT, Nguyen TN, Phuong TM (2011b) Topic-based defect prediction (nier track). In: Proceedings of the 33rd international conference on software engineering. ICSE ’11, pp 932–935
• Nguyen A, Nguyen TT, Nguyen T, Lo D, Sun C (2012) Duplicate bug report detection with a combination of information retrieval and topic modeling. In: Proceedings of the 2012 27th IEEE/ACM international conference on automated software engineering, pp 70–79
• Nie K, Zhang L (2012) Software feature location based on topic models. In: Proceedings of the 2012 19th Asia-Pacific software engineering conference. APSEC ’12, pp 547–552
• Niu N, Savolainen J, Bhowmik T, Mahmoud A, Reddivari S (2012) A framework for examining topical locality in object-oriented software. In: Proceedings of the 2012 IEEE 36th annual computer software and applications conference, pp 219–224
• Oliveto R, Gethers M, Poshyvanyk D, De Lucia A (2010) On the equivalence of information retrieval methods for automated traceability link recovery. In: Proceedings of the 18th international conference on program comprehension, pp 68–71
• Oliveto R, Gethers M, Bavota G, Poshyvanyk D, De Lucia A (2011) Identifying method friendships to remove the feature envy bad smell. In: Proceeding of the 33rd international conference on software engineering (NIER Track), pp 820–823
• Ossher J, Bajracharya S, Linstead E, Baldi P, Lopes C (2009) Sourcererdb: an aggregated repository of statically analyzed and cross-linked open source java projects. In: Proceedings of the 6th working conference on mining software repositories, pp 183–186
• Pagano D, Maalej W (2013) How do open source communities blog? Empir Softw Eng 18(6):1090–1124
  Article Google Scholar
• Panichella A, Dit B, Oliveto R, Di Penta M, Poshyvanyk D, De Lucia A (2013) How to effectively use topic models for software engineering tasks? an approach based on genetic algorithms. In: Proceedings of the 2013 international conference on software engineering. ICSE ’13, pp 522–531
• Parizy M, Takayama K, Kanazawa Y (2014) Software defect prediction for lsi designs. In: Proceedings of the 2014 IEEE international conference on software maintenance and evolution (ICSME), pp 565–568
• Paul M (2009) Cross-collection topic models: automatically comparing and contrasting text. Master’s thesis, University of Illinois at Urbana-Champaign, Urbana
• Petersen K, Feldt R, Mujtaba S, Mattsson M (2008) Systematic mapping studies in software engineering. In: Proceedings of the 12th international conference on evaluation and assessment in software engineering. EASn08, pp 68–77
• Phan X-H, Nguyen L-M, Horiguchi S (2008a) Learning to classify short and sparse text & web with hidden topics from large-scale data collections. In: Proceedings of the 17th international conference on World Wide Web. WWW ’08, pp 91–100
• Phan XH, Nguyen LM, Horiguchi S (2008b) Learning to classify short and sparse text & web with hidden topics from large-scale data collections. In: Proceeding of the 17th international conference on World Wide Web, pp 91–100
• Pingclasai N, Hata H, Matsumoto K-I (2013) Classifying bug reports to bugs and other requests using topic modeling. In: Proceedings of the 2013 20th Asia-Pacific software engineering conference (APSEC). APSEC ’13, pp 13–18
• Porteous I, Newman D, Ihler A, Asuncion A, Smyth P, Welling M (2008) Fast collapsed Gibbs sampling for latent Dirichlet allocation. In: Proceeding of the 14th international conference on knowledge discovery and data mining, pp 569–577
• Porter M (1980) An algorithm for suffix stripping. Program 14:130
  Article Google Scholar
• Poshyvanyk D, Grechanik M (2009) Creating and evolving software by searching, selecting and synthesizing relevant source code. In: Proceedings of the 31st international conference on software engineering, pp 283–286
• Poshyvanyk D, Marcus A (2007) Combining formal concept analysis with information retrieval for concept location in source code. In: Proceedings of the 15th international conference on program comprehension, pp 37–48
• Poshyvanyk D, Marcus A, Rajlich V et al (2006) Combining probabilistic ranking and Latent Semantic Indexing for feature identification. In: Proceedings of the 14th international conference on program comprehension, pp 137–148
• Poshyvanyk D, Gueheneuc Y, Marcus A, Antoniol G, Rajlich V (2007) Feature location using probabilistic ranking of methods based on execution scenarios and information retrieval. IEEE Trans Softw Eng 33(6):420–432
  Article Google Scholar
• Poshyvanyk D, Gethers M, Marcus A (2013) Concept location using formal concept analysis and information retrieval. ACM Trans Softw Eng Methodol 21 (4):23:1–23:34
  Google Scholar
• Qusef A, Bavota G, Oliveto R, Lucia AD, Binkley D (2013) Evaluating test-to-code traceability recovery methods through controlled experiments. J Softw Evol Process 25(11):1167–1191
  Article Google Scholar
• Rahman F, Bird C, Devanbu PT (2012) Clones: what is that smell? Empir Softw Eng 17(4–5):503–530
  Article Google Scholar
• Raja U (2012) All complaints are not created equal: text analysis of open source software defect reports. Empir Softw Eng 18:117–138
• Rajlich V, Wilde N (2002) The role of concepts in program comprehension. In: Proceedings of the 10th international workshop on program comprehension, pp 271–278
• Ramage D, Hall D, Nallapati R, Manning CD (2009a) Labeled LDA: a supervised topic model for credit attribution in multi-labeled corpora. In: Proceedings of the 2009 conference on empirical methods in natural language processing: volume 1, pp 248–256
• Ramage D, Rosen E, Chuang J, Manning CD, McFarland DA (2009b) Topic modeling for the social sciences. In: NIPS 2009 workshop on applications for topic models: text and beyond
• Rao S, Kak A (2011) Retrieval from software libraries for bug localization: a comparative study of generic and composite text models. In: Proceeding of the 8th working conference on mining software repositories, pp 43–52
• Revelle M, Poshyvanyk D (2009) An exploratory study on assessing feature location techniques. In: Proceedings of the 17th international conference on program comprehension, pp 218–222
• Revelle M, Dit B, Poshyvanyk D (2010) Using data fusion and web mining to support feature location in software. In: Proceedings of the 18th international conference on program comprehension, pp 14–23
• Risi M, Scanniello G, Tortora G (2010) Architecture recovery using latent semantic indexing and k-means: an empirical evaluation. In: Proceedings of the 2010 8th IEEE international conference on software engineering and formal methods (SEFM), pp 103–112
• Rosen-Zvi M, Griffiths T, Steyvers M, Smyth P (2004) The author-topic model for authors and documents. In: Proceedings of the 20th conference on uncertainty in artificial intelligence, pp 487–494
• Roy CK, Cordy JR, Koschke R (2009) Comparison and evaluation of code clone detection techniques and tools: a qualitative approach. Sci Comput Program 74 (7):470–495
  Article MathSciNet MATH Google Scholar
• Saha R, Lease M, Khurshid S, Perry D (2013) Improving bug localization using structured information retrieval. In: Proceedings of the 2013 IEEE/ACM 28th international conference on automated software engineering, pp 345–355
• Salton G, McGill MJ (1983) Introduction to modern information retrieval. New York
• Salton G, Wong A, Yang CS (1975) A vector space model for automatic indexing. Commun ACM 18(11):620
  Article MATH Google Scholar
• Savage T, Dit B, Gethers M, Poshyvanyk D (2010) TopicXP: exploring topics in source code using latent Dirichlet allocation. In: Proceedings of the 26th international conference on software maintenance, pp 1–6
• Shang W, Jiang ZM, Adams B, Hassan AE, Godfrey MW, Nasser M, Flora P (2013) An exploratory study of the evolution of communicated information about the execution of large software systems. J Softw Evol Process 26(1):3–26
  Article Google Scholar
• Sharafl Z, Gueheneuc Y-G, Ali N, Antoniol G (2012) An empirical study on requirements traceability using eye-tracking. In: Proceedings of the 2012 IEEE international conference on software maintenance. ICSM ’12, pp 191–200
• Shihab E, Jiang ZM, Ibrahim WM, Adams B, Hassan AE (2010) Understanding the impact of code and process metrics on post-release defects: a case study on the eclipse project. In: Proceedings of the international symposium on empirical software engineering and measurement
• Somasundaram K, Murphy GC (2012) Automatic categorization of bug reports using latent dirichlet allocation. In: Proceedings of the 5th India software engineering conference. ISEC ’12, pp 125–130
• Steyvers M, Griffiths T (2007) Probabilistic topic models. In: Latent semantic analysis: a road to meaning. Laurence Erlbaum
• Tairas R, Gray J (2009) An information retrieval process to aid in the analysis of code clones. Empir Softw Eng 14(1):33–56
  Article Google Scholar
• Tang J, Meng Z, Nguyen X, Mei Q, Zhang M (2014) Understanding the limiting factors of topic modeling via posterior contraction analysis. In: Jebara T, Xing EP (eds) Proceedings of the 31st international conference on machine learning (ICML-14), pp 190–198
• Thomas S, Nagappan M, Blostein D, Hassan A (2013) The impact of classifier configuration and classifier combination on bug localization. IEEE Trans Softw Eng 39(10):1427–1443
  Article Google Scholar
• Thomas SW, Adams B, Hassan AE, Blostein D (2010) Validating the use of topic models for software evolution. In: Proceedings of the 10th international working conference on source code analysis and manipulation, pp 55–64
• Thomas SW, Hemmati H, Hassan AE, Blostein D (2014) Static test case prioritization using topic models. Empir Softw Eng 19:182–212
• Tian K, Revelle M, Poshyvanyk D (2009) Using latent Dirichlet allocation for automatic categorization of software. In: Proceedings of the 6th international working conference on mining software repositories, pp 163–166
• Tichy W (2010) An interview with Prof. Andreas Zeller: mining your way to software reliability. Ubiquity 2010
• Ujhazi B, Ferenc R, Poshyvanyk D, Gyimothy T (2010) New conceptual coupling and cohesion metrics for object-oriented systems. In: Proceedings of the 10th international working conference on source code analysis and manipulation, pp 33–42
• Van der Spek P, Klusener S, Van de Laar P (2008) Towards recovering architectural concepts using Latent Semantic Indexing. In: Proceedings of the 12th European conference on software maintenance and reengineering, pp 253–257
• Wall M, Rechtsteiner A, Rocha L (2003) Singular value decomposition and principal component analysis, pp 91–109
• Wallach H, Mimno D, McCallum A (2009a) Rethinking LDA: why priors matter. In: Proceedings of NIPS-09, Vancouver, BC
• Wallach HM, Murray I, Salakhutdinov R, Mimno D (2009b) Evaluation methods for topic models. In: Proceedings of the 26th international conference on machine learning, pp 1105–1112
• Wang X, McCallum A (2006) Topics over time: a non-markov continuous-time model of topical trends. In: Proceedings of the 12th international conference on Knowledge discovery and data mining. ACM, pp 424–433
• Wang C, Thiesson B, Meek C, Blei D (2009) Markov topic models. In: The twelfth international conference on artificial intelligence and statistics (AISTATS), pp 583–590
• Wang S, Lo D, Xing Z, Jiang L (2011) Concern localization using information retrieval: an empirical study on linux kernel. In: Proceedings of the 2011 18th working conference on reverse engineering. WCRE ’11, pp 92–96
• Wu C, Chang E, Aitken A (2008) An empirical approach for semantic web services discovery. In: Proceedings of the 19th Australian conference on software engineering, pp 412–421
• Xia X, Lo D, Wang X, Zhou B (2013) Accurate developer recommendation for bug resolution. In: Proceedings of the 2013 20th working conference on reverse engineering, pp 72–81
• Xie B, Li M, Jin J, Zhao J, Zou Y (2013) Mining cohesive domain topics from source code. In: Proceedings of the international conference on software reuse, pp 239–254
• Xue Y, Xing Z, Jarzabek S (2012) Feature location in a collection of product variants. In: Proceedings of the 2012 19th working conference on reverse engineering, pp 145–154
• Yan X, Guo J, Lan Y, Cheng X (2013) A biterm topic model for short texts. In: Proceedings of the 22nd international conference on World Wide Web. WWW ’13, pp 1445–1456
• Yang G, Zhang T, Lee B (2014) Towards semi-automatic bug triage and severity prediction based on topic model and multi-feature of bug reports. In: Proceedings of the 2014 IEEE 38th annual computer software and applications conference. COMPSAC ’14, pp 97–106
• Yu S (2012) Retrieving software maintenance history with topic models. In: Proceedings of the 2012 28th IEEE international conference on software maintenance (ICSM), pp 621–624
• Zawawy H, Kontogiannis K, Mylopoulos J (2010) Log filtering and interpretation for root cause analysis. In: Proceedings of the 26th international conference on software maintenance, pp 1–5
• Zhai C. X (2008) Statistical language models for information retrieval. Synthesis Lect Human Lang Technol 1(1):1–141
  Article Google Scholar
• Zhou J, Zhang H, Lo D (2012) Where should the bugs be fixed? - more accurate information retrieval-based bug localization based on bug reports. In: Proceedings of the 34th international conference on software engineering. ICSE ’12, pp 14–24
• Zimmermann T, Weisgerber P, Diehl S, Zeller A (2005) Mining version histories to guide software changes. IEEE Trans Softw Eng 31:429–445
• Zou C, Hou D (2014) Lda analyzer: a tool for exploring topic models. In: Proceedings of the 2014 international conference on software maintenance and evolution (ICSME), pp 593–596