SEGRESS: Software engineering guidelines for reporting secondary studies
Context: Several tertiary studies have criticized the reporting of software engineering
secondary studies. Objective: Our objective is to identify guidelines for reporting software …
secondary studies. Objective: Our objective is to identify guidelines for reporting software …
Reproducibility and credibility in empirical software engineering: A case study based on a systematic literature review of the use of the szz algorithm
Abstract Context Reproducibility of Empirical Software Engineering (ESE) studies is an
essential part for improving their credibility, as it offers the opportunity to the research …
essential part for improving their credibility, as it offers the opportunity to the research …
Game-based Sprint retrospectives: multiple action research
A Przybyłek, M Albecka, O Springer… - Empirical Software …, 2022 - Springer
In today's fast-paced world of rapid technological change, software development teams
need to constantly revise their work practices. Not surprisingly, regular reflection on how to …
need to constantly revise their work practices. Not surprisingly, regular reflection on how to …
[HTML][HTML] How far are we from reproducible research on code smell detection? A systematic literature review
Context: Code smells are symptoms of wrong design decisions or coding shortcuts that may
increase defect rate and decrease maintainability. Research on code smells is accelerating …
increase defect rate and decrease maintainability. Research on code smells is accelerating …
Detecting code smells using industry-relevant data
Context Code smells are patterns in source code associated with an increased defect rate
and a higher maintenance effort than usual, but without a clear definition. Code smells are …
and a higher maintenance effort than usual, but without a clear definition. Code smells are …
Assessing a swarm-GAP based solution for the task allocation problem in dynamic scenarios
Swarm-GAP is a heuristic that combines a swarm intelligence strategy with the generalized
assignment problem (GAP) method. This approach is especially appropriate when there are …
assignment problem (GAP) method. This approach is especially appropriate when there are …
[HTML][HTML] Industrial applications of software defect prediction using machine learning: A business-driven systematic literature review
Context: Machine learning software defect prediction is a promising field of software
engineering, attracting a great deal of attention from the research community; however, its …
engineering, attracting a great deal of attention from the research community; however, its …
[HTML][HTML] Exploring the challenges in software testing of the 5G system at Nokia: A survey
Context: The ever-growing size and complexity of industrial software products pose
significant quality assurance challenges to engineering researchers and practitioners …
significant quality assurance challenges to engineering researchers and practitioners …
[HTML][HTML] Revisiting the reproducibility of empirical software engineering studies based on data retrieved from development repositories
Abstract Context: In 2012, our paper “On the reproducibility of empirical software
engineering studies based on data retrieved from development repositories” was published …
engineering studies based on data retrieved from development repositories” was published …
Evaluating Pred(p) and standardized accuracy criteria in software development effort estimation
Software development effort estimation (SDEE) plays a primary role in software project
management. But choosing the appropriate SDEE technique remains elusive for many …
management. But choosing the appropriate SDEE technique remains elusive for many …