Team Understanding A Successor of the Process Improvement Paradigm ? (original) (raw)
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2011 ASEE Annual Conference & Exposition Proceedings
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Information Systems Development (ISD) is fast moving, knowledge-intensive and requires a substantive amount of teamwork. In order to develop quality software, teams need to leverage the skills and knowledge of each team member. ISD teams who engage in learning at a group level can perform more effectively and efficiently. However, relative to other disciplines, knowledge and literature about team learning in ISD research is new and dispersed. This fact hampers the cumulative progress in research that seeks to answer questions about how ISD teams learn to work together and improve their performance. We draw on and extend the classification scheme of Edmondson et al. (2007) and conduct a review of ISD team learning research literature. We synthesize the main findings and highlight the limitations of existing approaches. We emphasize potential directions for future research while focusing on the resulting implications for ISD management and methodology. We further demonstrate that ther...
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The purpose of this report is to communicate status, progress, lessons learned, and results on a joint collaboration between the Software Engineering Institute (SEI) and Naval Air Systems Command (NAVAIR). The collaboration is referred to as Team Software Process Integration (TSPI). This report describes the progress and performance of extending the Team Software Process (TSP) to systems engineering as a pilot project with the AV8B Systems Engineering Team. Early results of applying TSPI suggest some encouraging trends. The motivation for assembling this report is to share lessons and experiences with other industry and government organizations interested in applying TSP in a non-software setting. The TSPI effort leverages the SEI Personal Software Process (PSP) and Team Software Process (TSP) research and body of practice. Projects that have adopted these methods have shown a dramatic increase in product quality as well as increased fidelity to their schedule and effort estimates. ...
2011 ASEE Annual Conference & Exposition Proceedings
Master of Science degree in Chemical Engineering/Process Control from the University of Alberta, and the Doctor of Philosophy degree in Chemical Engineering/Process Control from Lehigh University. His research interests focus on process control systems, process modeling and simulation, artificial intelligence and expert systems. His professional experience includes management and technical positions with chemicals, refining, and consulting companies. He has published and presented a number of papers on advanced process control, real-time optimization systems, adaptive control, artificial intelligence and expert systems. He is a member of AIChE.
A Study of Individual Learning in Software Engineering Team Projects
2012 ASEE Annual Conference & Exposition Proceedings
where he is the Director Engineering Programs. Neill has developed and taught more than a dozen courses in support of the graduate programs in software engineering, systems engineering, engineering management, and information science in topics including software systems design, system architecture, project management, and systems thinking. He has published more than 70 articles in refereed journals and conference proceedings, including
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Systems Engineering, 2000
Neither systems engineering nor process improvement is new. Since 1992, INCOSE papers and others have been reporting success in documenting and improving processes. A considerable body of process improvement literature is available, particularly related to improvement of software development processes. Even systems engineering process improvement is gaining in popularity, judging from the increasing number of INCOSE papers detailing various efforts. Yet the nature of systems engineering poses challenges over and above those seen in other process improvement efforts. This paper focuses on identifying and resolving typical barriers to improving the systems engineering process.