The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
The Effect of Task and Tool Experience on Maintenance CASE Tool Usage
|
|
Author(s): Mark T. Dishaw (University of Wisconsin, USA)and Diane M. Strong (Worcester Polytechnic Institute, USA)
Copyright: 2003
Volume: 16
Issue: 3
Pages: 16
Source title:
Information Resources Management Journal (IRMJ)
Editor(s)-in-Chief: George Kelley (University of Massachusetts, USA)
DOI: 10.4018/irmj.2003070101
Purchase
|
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.
Related Content
|
Zhi Chen, Jie Liu, Ying Wang.
© 2024.
19 pages.
|
|
Ping Zhang, Changrong Lv, Qingying Li, Bori Cong, Jian Liu.
© 2024.
19 pages.
|
|
Lai Xin, Liang Chang Sheng, Jiayu Feng, Hengyan Zhang.
© 2024.
17 pages.
|
|
Abida Ellahi, Yasir Javed, Mohammad Farooq Jan, Zaid Sultan.
© 2024.
20 pages.
|
|
Tongyue Feng, Jiexiang Xu, Zehan Zhou, Yilang Luo.
© 2024.
21 pages.
|
|
Toby Chau, Helen Lv Zhang, Yuyue Gui, Man Fai Lau.
© 2024.
13 pages.
|
|
Andrew J. Setterstrom, Jack T. Marchewka.
© 2024.
22 pages.
|
|
|