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Göteborgs universitets publikationer

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

Författare och institution:
Bogdan Marculescu (-); Robert Feldt (Institutionen för data- och informationsteknik, Software Engineering (Chalmers), Chalmers); Richard Torkar (Institutionen för data- och informationsteknik (GU))
Publicerad i:
2013 12th International Conference on Machine Learning and Applications, ICMLA 2013; Miami, FL; United States; 4 December 2013 through 7 December 2013, 2 s. 102-107
Konferensbidrag, refereegranskat
Sammanfattning (abstract):
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.
Ämne (baseras på Högskoleverkets indelning av forskningsämnen):
Data- och informationsvetenskap ->
search based software testing, interactive search based software engineering, user centered, embedded software, industrial experience
Postens nummer:
Posten skapad:
2013-11-09 08:37
Posten ändrad:
2016-08-18 08:30

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