407 citations · 517 across the 3 of their papers we have counts for
9 papers · 1 filter
Problem reports and team maturity in agile automotive software development
Lucas Gren, Martin Shepperd
Background: Volvo Cars is pioneering an agile transformation on a large scale in the automotive industry. Social psychological aspects of automotive software development are an und…
The impact of using biased performance metrics on software defect prediction research
Jingxiu Yao, Martin Shepperd
Context: Software engineering researchers have undertaken many experiments investigating the potential of software defect prediction algorithms. Unfortunately, some widely used per…
Evaluating prediction systems in software project estimation
Martin Shepperd, Stephen G. MacDonell
Context: Software engineering has a problem in that when we empirically evaluate competing prediction systems we obtain conflicting results. Objective: To reduce the inconsistency…
Assessing Software Defection Prediction Performance: Why Using the Matthews Correlation Coefficient Matters
Jingxiu Yao, Martin Shepperd
Context: There is considerable diversity in the range and design of computational experiments to assess classifiers for software defect prediction. This is particularly so, regardi…
A Systematic Review of Unsupervised Learning Techniques for Software Defect Prediction
Ning Li, Martin Shepperd, Yuchen Guo
Background: Unsupervised machine learners have been increasingly applied to software defect prediction. It is an approach that may be valuable for software practitioners because it…
Inferencing into the void: problems with implicit populations Comments on `Empirical software engineering experts on the use of students and professionals in experiments'
Martin Shepperd
I welcome the contribution from Falessi et al. [1] hereafter referred to as F++ , and the ensuing debate. Experimentation is an important tool within empirical software engineering…