Mutating aspect-oriented models to test cross-cutting concernsShow others and affiliations
2015 (English)In: 2015 IEEE 8th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2015 - Proceedings, 2015, p. Article number 7107456-Conference paper, Published paper (Refereed)
Abstract [en]
Aspect-oriented (AO) modeling is used to separate normal behaviors of software from specific behaviors that affect many parts of the software. These are called 'cross-cutting concerns,' and include things such as interrupt events, exception handling, and security protocols. AO modeling allow developers to model the behaviors of cross-cutting concerns independently of the normal behavior. Aspect-oriented models (AOM) are then transformed into code by 'weaving' the aspects (modeling the cross-cutting concerns) into all locations in the code where they are needed. Testing at this level is unnecessarily complicated because the concerns are often repeated in many locations and because the concerns are muddled with the normal code. This paper presents a method to design robustness tests at the abstract, or model, level. The models are mutated with novel operators that specifically target the features of AOM, and tests are designed to kill those mutants. The tests are then run on the implementation level to evaluate the behavior of the woven cross-cutting concerns.
Place, publisher, year, edition, pages
2015. p. Article number 7107456-
Keywords [en]
aspect-oriented modeling, Mutation analysis, robustness testing
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-28624DOI: 10.1109/ICSTW.2015.7107456ISI: 000373338600052Scopus ID: 2-s2.0-84934343223ISBN: 9781479918850 (print)OAI: oai:DiVA.org:mdh-28624DiVA, id: diva2:842057
Conference
2015 8th IEEE International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2015, 13 April 2015 through 17 April 2015
2015-07-162015-07-162016-05-06Bibliographically approved