1 citations · 1 across the 4 of their papers we have counts for
5 papers
Assessing the Construct Validity of Object-Oriented, Class-Level Code Quality Metrics
Hera Arif, Miikka Kuutila, Paul Ralph
Background: Code quality metrics are intended to measure latent properties of software source code. Although numerous code metrics have been proposed and used, their construct vali…
How Do Software Professionals Evaluate AI-Generated Code? (Registered Report)
Samuli Määttä, Hera Arif, Burak Turhan +2
Recent advances in generative AI tools have significantly changed how software professionals write, evaluate, and interact with code. Generative AI tools such as GitHub Copilot, Ch…
Staying or Leaving? How Job Satisfaction, Embeddedness and Antecedents Predict Turnover Intentions of Software Professionals
Miikka Kuutila, Paul Ralph, Huilian Sophie Qiu +13
Context: Voluntary turnover is common in the software industry, increasing recruitment and onboarding costs and the risk of losing organizational and tacit knowledge. Objective: Th…
The Software Infrastructure Attitude Scale (SIAS): A Questionnaire Instrument for Measuring Professionals' Attitudes Toward Technical and Sociotechnical Infrastructure
Miikka Kuutila, Paul Ralph, Huilian Sophie Qiu +19
Context: Recent software engineering (SE) research has highlighted the need for sociotechnical research, implying a demand for customized psychometric scales. Objective: We define…
Teaching Software Metrology: The Science of Measurement for Software Engineering
Paul Ralph, Miikka Kuutila, Hera Arif +1
While the methodological rigor of computing research has improved considerably in the past two decades, quantitative software engineering research is hampered by immature measures…