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Exploring Empirically the Relationship between Lack of Cohesion and Testability in Object-Oriented Systems

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Advances in Software Engineering (ASEA 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 117))

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Abstract

The study presented in this paper aims at exploring empirically the relationship between lack of cohesion and testability of classes in object-oriented systems. We investigated testability from the perspective of unit testing. We designed and conducted an empirical study using two Java software systems for which JUnit test cases exist. To capture testability of classes, we used different metrics to measure some characteristics of the corresponding JUnit test cases. We used also some lack of cohesion metrics. In order to evaluate the capability of lack of cohesion metrics to predict testability, we performed statistical tests using correlation. The achieved results provide evidence that (lack of) cohesion may be associated with (low) testability.

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Authors and Affiliations

  1. Software Engineering Research Laboratory, Department of Mathematics and Computer Science, University of Quebec at Trois-Rivières, Trois-Rivières, Québec, Canada

    Linda Badri, Mourad Badri & Fadel Toure

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  1. Linda Badri
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  2. Mourad Badri
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  3. Fadel Toure
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Editor information

Editors and Affiliations

  1. Hannam University, Daejeon, South Korea

    Tai-hoon Kim

  2. Catholic University of Daegu, 330, Hayangup, Kyungsan, Kyungbuk, Korea

    Haeng-Kon Kim

  3. King Saud University, Riyadh, Saudi Arabia

    Muhammad Khurram Khan

  4. University of Michigan-Dearborn, Dearborn, MI, USA

    Akingbehin Kiumi

  5. National Chiao Tung University, Hsinchu, Taiwan

    Wai-chi Fang

  6. University of Warsaw, and Infobright, Warsaw, Poland

    Dominik Ślęzak

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Badri, L., Badri, M., Toure, F. (2010). Exploring Empirically the Relationship between Lack of Cohesion and Testability in Object-Oriented Systems. In: Kim, Th., Kim, HK., Khan, M.K., Kiumi, A., Fang, Wc., Ślęzak, D. (eds) Advances in Software Engineering. ASEA 2010. Communications in Computer and Information Science, vol 117. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17578-7_9

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  • DOI: https://doi.org/10.1007/978-3-642-17578-7_9

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