Smarter software engineering: knowledge factors contributing to improved individual performance

Narayanan SRINIVASARAGHAVAN, Craig McDonald, John Campbell

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    Abstract

    This research paper aims to understand the relative contribution levels of different knowledge factors to improvements in performance. A theoretical framework is developed that involves nine types of knowledge required for an individual to perform Software Engineering (SE) roles. Based on this, the research explores the contribution that additional knowledge makes to perceived performance improvement after an individual joins a SE team. The results indicate that Technique skills and Configuration knowledge (knowledge of application systems) contribute most to improvements in performance after an individual joins a SE team. It is found that Role has statistically significant relation with Contribution of Configuration knowledge to improvements in performance. These findings allow smarter software engineering. By targeted Knowledge Management (KM) initiatives to improve success rates and reduce failures.
    Original languageEnglish
    Title of host publicationProceedings of the 22nd International Conference on Software Engineering Knowledge Engineering (SEKE'2010)
    Place of PublicationUSA
    PublisherKnowledge Systems Institute Graduate School
    Pages309-314
    Number of pages6
    ISBN (Print)1891706268
    Publication statusPublished - 2010
    Event22nd International Conference on Software Engineering and Knowledge Engineering (SEKE 2010) - Redwood City, California, United States
    Duration: 1 Jul 20103 Jul 2010

    Conference

    Conference22nd International Conference on Software Engineering and Knowledge Engineering (SEKE 2010)
    CountryUnited States
    CityCalifornia
    Period1/07/103/07/10

    Fingerprint

    Individual performance
    Software engineering
    Factors
    Join
    Performance improvement
    Theoretical framework
    Knowledge management

    Cite this

    SRINIVASARAGHAVAN, N., McDonald, C., & Campbell, J. (2010). Smarter software engineering: knowledge factors contributing to improved individual performance. In Proceedings of the 22nd International Conference on Software Engineering Knowledge Engineering (SEKE'2010) (pp. 309-314). USA: Knowledge Systems Institute Graduate School.
    SRINIVASARAGHAVAN, Narayanan ; McDonald, Craig ; Campbell, John. / Smarter software engineering: knowledge factors contributing to improved individual performance. Proceedings of the 22nd International Conference on Software Engineering Knowledge Engineering (SEKE'2010). USA : Knowledge Systems Institute Graduate School, 2010. pp. 309-314
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    title = "Smarter software engineering: knowledge factors contributing to improved individual performance",
    abstract = "This research paper aims to understand the relative contribution levels of different knowledge factors to improvements in performance. A theoretical framework is developed that involves nine types of knowledge required for an individual to perform Software Engineering (SE) roles. Based on this, the research explores the contribution that additional knowledge makes to perceived performance improvement after an individual joins a SE team. The results indicate that Technique skills and Configuration knowledge (knowledge of application systems) contribute most to improvements in performance after an individual joins a SE team. It is found that Role has statistically significant relation with Contribution of Configuration knowledge to improvements in performance. These findings allow smarter software engineering. By targeted Knowledge Management (KM) initiatives to improve success rates and reduce failures.",
    author = "Narayanan SRINIVASARAGHAVAN and Craig McDonald and John Campbell",
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    language = "English",
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    SRINIVASARAGHAVAN, N, McDonald, C & Campbell, J 2010, Smarter software engineering: knowledge factors contributing to improved individual performance. in Proceedings of the 22nd International Conference on Software Engineering Knowledge Engineering (SEKE'2010). Knowledge Systems Institute Graduate School, USA, pp. 309-314, 22nd International Conference on Software Engineering and Knowledge Engineering (SEKE 2010), California, United States, 1/07/10.

    Smarter software engineering: knowledge factors contributing to improved individual performance. / SRINIVASARAGHAVAN, Narayanan; McDonald, Craig; Campbell, John.

    Proceedings of the 22nd International Conference on Software Engineering Knowledge Engineering (SEKE'2010). USA : Knowledge Systems Institute Graduate School, 2010. p. 309-314.

    Research output: A Conference proceeding or a Chapter in BookConference contribution

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    AB - This research paper aims to understand the relative contribution levels of different knowledge factors to improvements in performance. A theoretical framework is developed that involves nine types of knowledge required for an individual to perform Software Engineering (SE) roles. Based on this, the research explores the contribution that additional knowledge makes to perceived performance improvement after an individual joins a SE team. The results indicate that Technique skills and Configuration knowledge (knowledge of application systems) contribute most to improvements in performance after an individual joins a SE team. It is found that Role has statistically significant relation with Contribution of Configuration knowledge to improvements in performance. These findings allow smarter software engineering. By targeted Knowledge Management (KM) initiatives to improve success rates and reduce failures.

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    BT - Proceedings of the 22nd International Conference on Software Engineering Knowledge Engineering (SEKE'2010)

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    SRINIVASARAGHAVAN N, McDonald C, Campbell J. Smarter software engineering: knowledge factors contributing to improved individual performance. In Proceedings of the 22nd International Conference on Software Engineering Knowledge Engineering (SEKE'2010). USA: Knowledge Systems Institute Graduate School. 2010. p. 309-314