Success and failure in software engineering are still among the least understood phenomena in the discipline. In a recent special journal issue on the topic, Mäntylä et al. started discussing these topics from different angles; the authors focused their contributions on offering a general overview of both topics without deeper detail. Recognizing the importance and impact of the topic, in this article we have executed a followup, more in-depth systematic literature review with additional analyses beyond what was previously provided. These new analyses offer: a grounded-theory of success and failure factors, harvesting over 500+ factors from the literature; 14 manually validated clusters of factors that provide relevant areas for success- and failure-specific measurement and risk-analysis; a quality model composed of previously unmeasured organizational structure quantities which are germane to software product, process, and community quality. We show that the topics of success and failure deserve further study as well as further automated tool support, e.g., monitoring tools and metrics able to track the factors and patterns emerging from this article. This article provides managers with risks as well as a more fine-grained analysis of the parameters that can be appraised to anticipate the risks.
SUCCESS AND FAILURE IN SOFTWARE ENGINEERING: A FOLLOWUP SYSTEMATIC LITERATURE REVIEW
Fabio Palomba
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2021-01-01
Abstract
Success and failure in software engineering are still among the least understood phenomena in the discipline. In a recent special journal issue on the topic, Mäntylä et al. started discussing these topics from different angles; the authors focused their contributions on offering a general overview of both topics without deeper detail. Recognizing the importance and impact of the topic, in this article we have executed a followup, more in-depth systematic literature review with additional analyses beyond what was previously provided. These new analyses offer: a grounded-theory of success and failure factors, harvesting over 500+ factors from the literature; 14 manually validated clusters of factors that provide relevant areas for success- and failure-specific measurement and risk-analysis; a quality model composed of previously unmeasured organizational structure quantities which are germane to software product, process, and community quality. We show that the topics of success and failure deserve further study as well as further automated tool support, e.g., monitoring tools and metrics able to track the factors and patterns emerging from this article. This article provides managers with risks as well as a more fine-grained analysis of the parameters that can be appraised to anticipate the risks.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
