A Proposed Quality Measurements for Information Systems Development Projects (original) (raw)
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Determinants of software quality: A survey of information systems project managers
Software quality is important for the success of any information systems (IS). In this research, we find the determinants of software quality. We used five attributes for software quality: system reliability, maintainability, ease of use, usefulness, and relevance. By surveying 112 IS project managers, we collected data about their perceptions on the software quality attributes and their determinants. We arrived at six factors through exploratory factor analysis. We determined the individual factors that impacted the software quality attributes; for example, reliability is associated with responsiveness of IS department; ease of use is influenced by the capabilities of users and attitude of management; and usefulness is impacted by capabilities of IS department and responsiveness of IS department. We show that organizational factors are more important than technical factors in impacting software quality in IS projects. We provide implications of our research to practice and to future research.
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Proceedings of the fifth on Asia- …, 2008
There is an increasing community of researchers trying to draw attention to the importance of evaluation issues. Some approaches can be followed to evaluate the quality of software, but gives no guidance on how to construct a high quality software product and on how to use in practice this model across evaluation process. IS are built upon Software, and the quality of Software effects, if not determine the quality of the IS. There are several difficulties of developing a comprehensive model of IS quality. The concepts, models and measures that work in other fields might be usefully applied to the IS field, but careful analysis and consideration should be given. This paper describes a practical method that can be used to evaluate the expected quality of IS. Our approach is focused on a direct evaluation of the quality of an IS. Our proposed IS quality model is considered as structured set of properties (such as reliability, maintainability, and so on). These properties are usually presented as a hierarchy of statements. The uppermost ones represent the most general properties, suitable to be understood by the widest variety of people, but very difficult to measure directly. The deeper we sink into this hierarchy, the more technical-audience-oriented and measurable properties are found. These finals properties need to be measured using metrics. For this purpose a metrics measurement-based framework is linked to the defined quality model.
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The usefulness and value of an information system is directly related to its perceived quality. Quality is multidimensional concept, and includes an object of interest, the viewpoint on that object and the qualities attributed to the object. This suggests that there is no universal standard in systems development; quality is rather defined how well the information system meets the purpose and the goals of the organization it is used within. It is important that people involved in a particular systems development project have an agreed understanding of what the strive for quality means.
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Proceedings of 36th International Conference on Information Systems (ICIS), 2015
Successful accomplishment of information system (IS) projects is a crucial challenge for researchers and practitioners. Agreement on influential factors, that is, success and failure factors, and on what constitutes success is lacking. Considering process and product quality an integral part of IS project success, we examine how project success and failure factors influence IS project quality. We conducted semi-structured interviews with 19 practitioners involved in IS projects and strategic decision making. This research-in-progress is based on total quality management (TQM), which facilitates continuous improvement of IS project quality. By applying an influential factor framework, we allow for a more detailed examination of success and failure factors not addressed in TQM. Our results suggest quality-specific themes, while acknowledging their context-dependency. By examining IS project quality and applying the influential factor framework, we expect to equip researchers and practitioners with an approach to examine specific dimensions of IS project success in detail.
IJERT-Information System Quality: State of the Art and New Model
International Journal of Engineering Research and Technology (IJERT), 2015
https://www.ijert.org/information-system-quality-state-of-the-art-and-new-model https://www.ijert.org/research/information-system-quality-state-of-the-art-and-new-model-IJERTV4IS030911.pdf Information System (IS) becomes a big priority of organization for the majority of firms and government institutions. Among the main reasons of using information system, we can mention information availability or reliability, better data circulation or communication, and finally insure information visibility and ease of access. For the reasons above, all information system's components, namely human resources, hardware, software, procedures and data, must have a definite level of quality. The review of literature reveals that all existing models are limited to the software quality as a substitution of information system quality, in addition, almost all the surveys and studies done to measure the information system quality on different organizations are considering only the developers or the technical staff opinion and neglecting the managers, the users and the operating staff opinion. In this article, we will highlight the limits of existing models and propose a hybrid model integrating quality indicators measurements for all information system components; we will also give adapted surveys to each kind of information system player.
Measurement and Metrics for Assessing Software Quality
50% of the software cost is spent on maintenance so here Complexity metrics to judge the quality of software is provided. ISO standard 9126 is defined to articulate the quality attributes. Subsequently process and product standards are defined. Quality can be achieved comprehensively provided it is built pervasively into all aspects of SDLC and in O&M phase through a quality management process.
A proposal to consider aspects of quality in the software development
Journal on Advances in Theoretical and Applied Informatics
Users need trusting in data managed by software applications that are part of Information Systems (IS), which supposes that organizations should assuring adequate levels of quality in data that are managed in their IS. Therefore, the fact that an IS can manage data with an adequate level of quality should be a basic requirement for all organizations. In order to reach this basic requirement some aspects and elements related with data quality (DQ) should be taken in account from the earliest stages of development of software applications, i.e. “data quality by design”. Since DQ is considered a multidimensional and largely context-dependent concept, managing all specific requirements is a complex task. The main goal of this paper is to introduce a specific methodology, which is aimed to identifying and eliciting DQ requirements coming from different viewpoints of users. These specific requirements will be used as normal requirements (both functional and non-functional) during the deve...
2005
This paper conceptualizes and develops valid measurements of the key dimensions of information systems development project (ISDP) complexity. A conceptual framework is proposed to define four components of ISDP complexity: structural organizational complexity, structural IT complexity, dynamic organizational complexity, and dynamic IT complexity. Measures of ISDP complexity are generated based on literature review, field interviews, and focus group discussions. The measures are then refined through a systematic process and are tested using confirmatory data analyses with survey responses from 541 ISDP managers. Results support the final measurement model that consists of a second-order factor of ISDP complexity, four distinct first-order factors, and 15 measurement items. The measurement adequately satisfies the criteria for unidimensionality, convergent validity, discriminant validity, reliability, factorial invariance across different types of ISDPs, and nomo-46 WEIDONG XIA AND GWANHOO LEE logical validity. Implications of the study results to research and practice as well as limitations of the study and directions for future research are discussed.