Guest editorial for special section on success and failure in software engineering

Mäntylä, Martti; Jørgensen, Magne; Ralph, Paul; Erdogmus, Hakan

doi:10.1007/s10664-017-9505-5

Cited by 9 publications

(25 citation statements)

References 15 publications

(12 reference statements)

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“…The scope intended for this article draws primarily from the single preliminary study reported in Mäntylä et al [3], which encompasses a very large sample of research and discusses the concepts of success and failure or the context in which such phenomena manifest themselves from a very high level. The scope we set out to investigate as a spin-off of the aforementioned previous work encompasses the high relevance and high-impact research currently available in the literature that elaborates either on 1) the primary studies emerged in Mäntylä et al [3] or 2) on any of the concepts or conclusions emerged in the same paper. With respect to point 1 above, we are aware that these phenomena are complex and cannot be simplistically reduced to mere factors and dimensions.…”

Section: Scope and Terminologymentioning

confidence: 99%

“…The editors concluded that addressing these questions is critical to further understand and steer software projects toward success. We pick up the challenge from where it was left off [3]. In this article, we refine and reexecute the research design set up by the editors in their special issue introduction, aimed at identifying and analyzing a set of papers focused on the topics of success and failure in software engineering research and practice.…”

mentioning

confidence: 99%

“…The goal we address is to add further analyses on top of what Mäntylä et al [3] offer as a preliminary analysis. Our objectives with these additional analyses are threefold.…”

mentioning

confidence: 99%

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Success and Failure in Software Engineering: A Followup Systematic Literature Review

Tamburri

Palomba

Kazman

2021

IEEE Trans. Eng. Manage.

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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.

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Section: Scope and Terminologymentioning

confidence: 99%

mentioning

confidence: 99%

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Success and Failure in Software Engineering: A Followup Systematic Literature Review

Tamburri

Palomba

Kazman

2021

IEEE Trans. Eng. Manage.

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“…These attributes urge rather force project managers to come up with a strategy that can best guide the process toward success. The failure in software projects is often regarded as failure to meet the quality attributes of the software system (Niazi et al , 2006; Mäntylä et al , 2017). These quality attributes widely affect the development time and cost (Standish, 2003; Standish, 1995).…”

Section: Literature Reviewmentioning

confidence: 99%

Development of public sector information management systems: challenges and promising practices

Khalid

Noor

Iqbal

et al. 2018

IDD

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Purpose More and more governmental organizations are switching to information systems to enhance their operations and reduce cost but the development of these systems involves a lot of challenges. This paper aims to find out the challenges that project managers have to face during the development of such systems and the practices they can adopt to address these challenges. Design/methodology/approach To identify the challenges, data have been gathered across six key project management areas. The six targeted key areas are project integration management, project scope management, project time management, project cost management, project human resource management and project communications management. The authors have coordinated with 11 managerial-level IT professionals using semi-structured interviews and have gone through their communication archives. Findings Findings prove that practices such as focusing on cost reduction, informal congregations, trainings and frequent communication between vendor and client help in addressing the challenges. Furthermore, learning from management experiences of the managers can assist managers in similar role to create a pattern of success while working with governmental projects. Originality/value The authors peek into the development life cycle of a public sector project named as prison information management system. The project has encountered numerous challenges and has been accomplished in significantly delayed time than designated.

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“…Where from the 80s onwards software companies used to follow a software process improvement (SPI) approach with varying success [ In previous work we found strong effects by comparing quantitative metrics such as cost, duration, number of defects, and size with qualitative metrics like stakeholder satisfaction and perceived value [8]. A recent guest editorial by Mäntylä et al [24] mentions that, although "many papers investigate success and failure of software projects from diverse perspectives, leading to a myriad of antecedents, causes, correlates, factors and predictors of success and failure", a solid, empirically grounded body of evidence enabling actionable practices for increasing success and avoiding failure in software projects is not yet found. Premrai et al [25] investigated how software project productivity had changed over time, finding that an improving trend was measured, however less marked since 1990.…”

Section: Related Workmentioning

confidence: 99%

Strong agile metrics: mining log data to determine predictive power of software metrics for continuous delivery teams

Huijgens

Lamping

Stevens

et al. 2017

Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering

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ING Bank, a large Netherlands-based internationally operating bank, implemented a fully automated continuous delivery pipeline for its software engineering activities in more than 300 teams, that perform more than 2500 deployments to production each month on more than 750 different applications. Our objective is to examine how strong metrics for agile (Scrum) DevOps teams can be set in an iterative fashion. We perform an exploratory case study that focuses on the classification based on predictive power of software metrics, in which we analyze log data derived from two initial sources within this pipeline. We analyzed a subset of 16 metrics from 59 squads. We identified two lagging metrics and assessed four leading metrics to be strong. CCS CONCEPTS • General and reference → Cross-computing tools and techniques → Metrics

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Guest editorial for special section on success and failure in software engineering

Cited by 9 publications

References 15 publications

Success and Failure in Software Engineering: A Followup Systematic Literature Review

Success and Failure in Software Engineering: A Followup Systematic Literature Review

Development of public sector information management systems: challenges and promising practices

Strong agile metrics: mining log data to determine predictive power of software metrics for continuous delivery teams

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