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Objective re-weighting to guide an interactive search based software testing system

Bogdan Marculescu ; Robert Feldt (Institutionen för data- och informationsteknik, Software Engineering (Chalmers)) ; Richard Torkar
2013 12th International Conference on Machine Learning and Applications, ICMLA 2013; Miami, FL; United States; 4 December 2013 through 7 December 2013 Vol. 2 (2013), p. 102-107.
[Konferensbidrag, refereegranskat]

Even hardware-focused industries today develop products where software is both a large and important component. Engineers tasked with developing and integrating these products do not always have a software engineering background. To ensure quality, tools are needed that automate and support software testing while allowing these domain specialists to leverage their knowledge and experience. Search-based testing could be a key aspect in creating an automated tool for supporting testing activities. However, domain specific quality criteria and trade-offs make it difficult to develop a general fitness function a priori, so interaction between domain specialists and such a tool would be critical to its success. In this paper we present a system for interactive search based software testing and investigate a way for domain specialists to guide the search by dynamically re-weighting quality goals. Our empirical investigation shows that objective reweighing can help a human domain specialist interactively guide the search, without requiring specialised knowledge of the system and without sacrificing population diversity.

Nyckelord: search based software testing, interactive search based software engineering, user centered, embedded software, industrial experience

Denna post skapades 2013-11-09. Senast ändrad 2017-09-14.
CPL Pubid: 186324


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Institutionen för data- och informationsteknik, Software Engineering (Chalmers)
Institutionen för data- och informationsteknik (GU) (GU)



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