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The Effect of Task and Tool Experience on Maintenance CASE Tool Usage

Author

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  • Mark T. Dishaw

    (University of Wisconsin, USA)

  • Diane M. Strong

    (Worcester Polytechnic Institute, USA)

Abstract

Computer-aided software engineering (CASE) tools have been advocated for improving maintainer productivity and the quality of maintained software. While there is evidence that such benefits can accrue to organizations adopting maintenance-oriented CASE tools, a key problem in achieving the desired benefits from CASE tools is low usage of these tools by programmers. The previously tested Maintenance Tool Utilization Model was a first step in investigating the factors that affect whether maintainers choose to use CASE tools during maintenance projects. We test the addition of experience with software maintenance tools and with the software maintenance task to the Maintenance Tool Utilization Model. The role of experience is important because managers can provide training to increase experience and they can ensure that project teams have some members experienced with the tools or with the task. Data for the test are collected from software maintainers working on their organization’s normal maintenance project backlog. Tool experience is significant as both a main and interaction effect, but task experience adds little to the explanatory power of the Maintenance Tool Utilization Model. These results support the value of improved CASE tool training programs.

Suggested Citation

  • Mark T. Dishaw & Diane M. Strong, 2003. "The Effect of Task and Tool Experience on Maintenance CASE Tool Usage," Information Resources Management Journal (IRMJ), IGI Global, vol. 16(3), pages 1-16, July.
    • Handle: RePEc:igg:rmj000:v:16:y:2003:i:3:p:1-16
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    Cited by:

    1. Yun Ji Moon & Woody Kim & Sunny Ham, 2014. "Users' intentions to employ a Point-Of-Sale system," The Service Industries Journal, Taylor & Francis Journals, vol. 34(11), pages 901-921, August.
    2. John D'Ambra & Concepción S. Wilson & Shahriar Akter, 2013. "Application of the task-technology fit model to structure and evaluate the adoption of E-books by Academics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 48-64, January.
    3. Akash Sinha & Prabhat Kumar & Nripendra P. Rana & Rubina Islam & Yogesh K. Dwivedi, 2019. "Impact of internet of things (IoT) in disaster management: a task-technology fit perspective," Annals of Operations Research, Springer, vol. 283(1), pages 759-794, December.

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