Software product maintainability prediction: A survey of secondary studies

Elmidaoui, Sara; Cheikhi, Laila; Idri, Ali

doi:10.1109/codit.2017.8102677

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…Prior authors have also identified potential avenues for progress: mining software repositories unlocks longitudinal data for quality research [5], and AI/data science techniques have much to contribute if data and metric validity concerns can be addressed [6]. We found one previous tertiary analysis in the field of software quality: Elmidaoui et al [7] examined nine secondary studies of software maintainability as a specific facet of quality and found that while maintainability prediction is an active area of work, model performance and validation continue to be a concern.…”

Section: Related Workmentioning

confidence: 79%

Replication data for: Qualities of quality: A tertiary review of software quality measurement research

Champion,

Khatri,

Hill

2021

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This paper presents a tertiary review of software quality measurement research. To conduct this review, we examined an initial dataset of 7,811 articles and found 75 relevant and high-quality secondary analyses of software quality research. Synthesizing this body of work, we offer an overview of perspectives, measurement approaches, and trends. We identify five distinct perspectives that conceptualize quality as heuristic, as maintainability, as a holistic concept, as structural features of software, and as dependability. We also identify three key challenges. First, we find widespread evidence of validity questions with common measures. Second, we observe the application of machine learning methods without adequate evaluation. Third, we observe the use of aging datasets. Finally, from these observations, we sketch a path toward a theoretical framework that will allow software engineering researchers to systematically confront these weaknesses while remaining grounded in the experiences of developers and the real world in which code is ultimately deployed.

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Section: Related Workmentioning

confidence: 79%