Improving Model Inspection with Crowdsourcing

D. Winkler, R. Sabou, S. Petrovic, G. Carneiro, M. Kalinowski, S. Biffl:
"Improving Model Inspection with Crowdsourcing";
Vortrag: 4th Workshop on Crowdsourcing in Software Engineering (CSI-SE), International Conference on Software Engineering (ICSE), Buenos Aires, Argentina; 22.05.2017; in:"Proceedings of the 4th Workshop on Crowdsourcing in Software Engineering (CSI-SE), International Conference on Software Engineering (ICSE)", ACM/IEEE, (2017), ISBN: 978-1-5386-4041-8; S. 30 - 34.

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Abstract:


Traditional Software Inspection is a well-established
approach to identify defects in software artifacts and models
early and efficiently. However, insufficient method and tool
support hinder efficient defect detection in large software
models. Recent Human Computation and Crowdsourcing processes may help to overcome this limitation by splitting complex inspection artifacts into smaller parts including a better
control over defect detection tasks and increasing the scalability of inspection tasks. Therefore, we introduce a Crowdsourcing-Based Inspection (CSI) process with tool support with focus on inspection teams and the quality of defect detection. We
evaluate the CSI process in a feasibility study involving 63
inspectors using the CSI process and 12 inspectors using a
traditional best-practice inspection process. The CSI process
was found useful by the participants. Although the preliminary
results of the study were promising, the CSI process should be
further investigated with typical large software engineering
models.