Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

Prospects and Limitations for Cross-Study Analyses – A Study on an Experiment Series

In English

Författare

Summary, in English

In software engineering research, experiments are conducted to evaluate new methods or techniques. The experimentation as such is beginning to mature, but little effort is spent on learning across different studies, except for a few meta-analyses. Meta-analysis can be applied to a set of experiments with the same design. This paper discusses learning across a set of experimental studies on fault detection techniques, conducted in very similar environments, although with different hypotheses. Four experiments have been conducted applying Usage-Based Reading (UBR), hence establishing a point of reference for other techniques. In the different experiments, UBR is compared to Checklist-Based Reading (CBR), two variants of UBR and Usage-Based Testing (UBT). We present an approach to analysis across different experimental studies, and identify a set of issues for discussion on whether the approach is feasible for further use in empirical software engineering.

Publiceringsår

2003

Språk

Engelska

Sidor

133-142

Publikation/Tidskrift/Serie

2nd Workshop in Workshop Series on Empirical Software Engineering

Dokumenttyp

Konferensbidrag

Ämne

  • Computer Science

Status

Published