An empirical study of software maintenance tasks
Journal of Software Maintenance: Research and Practice
Implementing SAP R/3 (2nd ed.)
Implementing SAP R/3 (2nd ed.)
An Empirical Approach to Studying Software Evolution
IEEE Transactions on Software Engineering
Characteristics of application software maintenance
Communications of the ACM
Types of software evolution and software maintenance
Journal of Software Maintenance: Research and Practice
The maintenance implications of the customization of ERP software
Journal of Software Maintenance: Research and Practice - Large packaged application software maintenance
Software Cost Estimation with Cocomo II with Cdrom
Software Cost Estimation with Cocomo II with Cdrom
Software Maintenance Management
Software Maintenance Management
An ERP-client benefit-oriented maintenance taxonomy
Journal of Systems and Software
ICSE '76 Proceedings of the 2nd international conference on Software engineering
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HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 8 - Volume 8
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ICRE '00 Proceedings of the 4th International Conference on Requirements Engineering (ICRE'00)
The software maintenance project effort estimation model based on function points
Journal of Software Maintenance: Research and Practice
Towards a taxonomy of software change: Research Articles
Journal of Software Maintenance and Evolution: Research and Practice - Unanticipated Software Evolution
Power-Laws in a Large Object-Oriented Software System
IEEE Transactions on Software Engineering
Reconstrucing the systems development organization
MIS Quarterly
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Maintenance to in-house applications is often done by modifying source code; however, packaged applications also enable certain maintenance to be done through changes to configurational parameters rather than through changes to the source code. This research presents preliminary evidence from the field to fill this gap in the empirical understanding of ERP maintenance. Using data from 503 ERP maintenance requests, the author's results suggest that relative maintenance effort distributions for all maintenance categories and tailoring options are not normal distributions but heavy-tailed positively skewed distributions. Comparing ERP systems to in-house developed software, the author found a large proportion of corrective maintenance requests than adaptive requests. Enhancement and corrective task categories that use the programming tailoring option show a trend of increment in relative maintenance effort per request moving median over time. In contrast, enhancement and adaptive task categories that use the configuration tailoring option show a trend of reduction in relative maintenance effort per request moving median over time. The number of maintenance requests for all tailoring options and task categories were increasingly high four months after the introduction of a new module. Comparatively, under the same period, there was relatively higher number of maintenance requests for enhancement task category than other task categories, indicating that unique or orthogonal requirements were not available in the ERP system.