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Identifying TraIn: a neglected form of socio-technical incongruence

Published:27 May 2018Publication History

ABSTRACT

Socio-Technical Congruence (STC) indicates that social interactions among developers should be congruent with technical dependencies among their tasks. Prior research discovered that the lack of the "should-happen" communication will lead to integration errors and productivity decrease. However, the opposite scenario, excessive communication not matched by any technical dependencies, has been largely neglected. This paper terms such scenario as Transgressive Incongruence (TraIn). To automatically pin-point source files involved in TraIn, this paper defines a new form of coupling between files, called communication coupling. It measures the communication traffic among developers working on two files. Evaluation on 6 Apache open source projects reveals: 1) the communication coupling between files with structural dependencies is 3 to 10 times higher than that between files independent from each other; and 2) source files involved in TraIn are usually very bug-prone. This implies that TraIn may have negative impact on the quality of software systems, and thus should merit due attention.

References

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  • Published in

    cover image ACM Conferences
    ICSE '18: Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings
    May 2018
    231 pages
    ISBN:9781450356633
    DOI:10.1145/3183440
    • Conference Chair:
    • Michel Chaudron,
    • General Chair:
    • Ivica Crnkovic,
    • Program Chairs:
    • Marsha Chechik,
    • Mark Harman

    Copyright © 2018 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 27 May 2018

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    Overall Acceptance Rate276of1,856submissions,15%

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