Author:
Ramanujan Sam,Nerur Sridhar
Abstract
PurposeResources allocated to software maintenance constitutes a major portion of the total life cycle cost of a system. The enormous effect that this can have on an organization's ability to react to dynamic environments has been the primary motivation for researchers to study issues related to software maintenance. The purpose of this paper is to take stock of the research conducted in this area in order to identify the intellectual trails embodied in the coherent body of knowledge on software maintenance.Design/methodology/approachAn author co‐citation analysis (ACA) involving authors who have made seminal contributions to the field of software maintenance was performed. The data for the study were obtained from the Science Citation Index (SCI) and the Social Sciences Citation Index (SSCI).FindingsThe results indicate that most of the software maintenance research has focused on eight areas: Program logic characteristics, Quality of processes/metrics, Effort and productivity issues, Cognitive issues in repair maintenance, Organizational Issues: Strategies for software evolution/maintenance, Object‐oriented (OO) maintenance, Domain specific language issues and Program construction and design. Research limitations/implications – Some of the limitations of this study include: exclusion of data after 2003, giving equal weight for all citations, and implicit assumption that a relationship exists between the citing and cited documents.Practical implicationsThe extension of software maintenance research in the areas suggested in this study may lead to new innovations for practice.Originality/valueThe paper not only introduces new methods for meta analysis, it also suggests that opportunities abound for extending the frontiers of software maintenance research, particularly in the context of contemporary software development approaches.
Subject
General Computer Science,Information Systems
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Meta-Review of IS Health IT Research and Development of a New Framework;Proceedings of the 2018 ACM SIGMIS Conference on Computers and People Research;2018-06-18
2. Evaluation of work product defects during corrective & enhancive software evolution;ACM SIGMIS Database: the DATABASE for Advances in Information Systems;2011-02-18