Investigating Model Quality Assurance with a Distributed and Scalable Review Process

Authors: 
Allan Hanbury
Allan Hanbury
Allan Hanbury
Allan Hanbury
Type: 
Speech with proceedings
Proceedings: 
Proceedings of the 20th Ibero-American Conference on Software Engineering, Experimental Software Engineering (ESELAW) Track
Publisher: 
IEEE
Pages: 
141 - 154
Year: 
2017
ISBN: 
ISBN: 978-987-3806-98-8
Abstract: 
Models play an important role in Software and Systems<br> Engineering processes. Reviews are well-established methods for model quality<br> assurance that support early and efficient defect detection. However, traditional<br> document-based review processes have limitations with respect to the number<br> of experts, resources, and the document size that can be applied. [Objective] In<br> this paper, we introduce a distributed and scalable review process for model<br> quality assurance to (a) improve defect detection effectiveness and (b) to<br> increase review artifact coverage. [Method] We introduce the novel concept of<br> Expected Model Elements (EMEs) as a key concept for defect detection. EMEs<br> can be used to drive the review process. We adapt a best-practice review<br> process to distinguish (a) between the identification of EMEs in the reference<br> document and (b) the use of EMEs to detect defects in the model. We design<br> and evaluate the adapted review process with a crowdsourcing tool in a<br> feasibility study. [Results] The study results show the feasibility of the adapted<br> review process. Further, the study showed that inspectors using the adapted<br> review process achieved results for defect detection effectiveness, which are<br> comparable to the performance of inspectors using a traditional inspection<br> process, and better defect detection efficiency [Conclusions] Although the study<br> shows promising results of the novel inspection process, future investigations<br> should consider larger and more diverse review artifacts and the effect of the<br> limited scope of artifact coverage for an individual inspector.
TU Focus: 
Information and Communication Technology
Reference: 

D. Winkler, R. Sabou, S. Petrovic, G. Carneiro, M. Kalinowski, S. Biffl:
"Investigating Model Quality Assurance with a Distributed and Scalable Review Process";
Vortrag: 20th Ibero-American Conference on Software Engineering, Experimental Software Engineering (ESELAW) Track, Buenos Aires, Argentina; 22.05.2017 - 23.05.2017; in: "Proceedings of the 20th Ibero-American Conference on Software Engineering, Experimental Software Engineering (ESELAW) Track", IEEE, (2017), ISBN: 978-987-3806-98-8; S. 141 - 154.

Zusätzliche Informationen

Last changed: 
30.12.2017 22:00:20
Accepted: 
Accepted
TU Id: 
265501
Invited: 
Department Focus: 
Business Informatics
Author List: 
D. Winkler, R. Sabou, S. Petrovic, G. Carneiro, M. Kalinowski, S. Biffl
Abstract German: