An empirical study of software maintenance of a Web-based Java application

Lee, M.-G.; Jefferson, Theresa I.

doi:10.1109/icsm.2005.19

Cited by 17 publications

(17 citation statements)

References 14 publications

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“…Although slightly different definitions of change types have been used here, our results seem to support the observations of [25,18,11,36,30,23]. Several other studies [5,29,38] yielded different conclusions and showed that the majority of changes are either corrective or adaptive.…”

Section: The Overall Distribution Of Different Types Of Change: Both supporting

confidence: 88%

“…To calculate the percentage covered by different types of changes and to answer RQ1.2, we classified the changes into different categories, according to the classification system proposed by [21] and used by [23]. The classification proposed in [21] is based on the actual maintenance activity performed.…”

Section: Discussionmentioning

confidence: 99%

“…Four studies classified changes into four categories: adaptive, corrective, perfective, and preventive [18,36,31,23]. Several studies did not include preventive changes and classified the changes into adaptive, corrective, and perfective, with a fourth category of user support in [1], inspection in [29], and ''other" in [25,47,3,38].…”

Section: Studies On the Distributions Of Different Types Of Software mentioning

confidence: 99%

See 2 more Smart Citations

Change profiles of a reused class framework vs. two of its applications

Gupta

Conradi

et al. 2010

Information and Software Technology

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Section: The Overall Distribution Of Different Types Of Change: Both supporting

confidence: 88%

Section: Discussionmentioning

confidence: 99%

Section: Studies On the Distributions Of Different Types Of Software mentioning

confidence: 99%

See 1 more Smart Citation

Change profiles of a reused class framework vs. two of its applications

Gupta

Conradi

et al. 2010

Information and Software Technology

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“…A number of later investigations on the distributions of work have been done, but they typically focus on the distribution of maintenance tasks only [12,25,33], many only looking on the situation in one organization. The data was exported from SurveyMonkey as Excel-files, and these were imported into SPSS.…”

Section: Previous Investigationsmentioning

confidence: 99%

Comparing Private and Public Sector on Information Systems Development and Maintenance Efficiency

Krogstie¹

2012

Lecture Notes in Computer Science

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Abstract. This paper provides a comparison between public and private organizations on key figures relative to the information systems support activities. Many have claimed that public sector has a less satisfactory conduct of information system support than private sector. In this article we present selected data from survey investigations performed among Norwegian organizations on how they conduct information systems development and maintenance. This investigation has earlier been compared with similar investigations of this sort. A major finding from the previous comparisons is that even if we witness large changes in the underlying implementation technology and approaches used, a number of aspects such as the overall percentage of time used for maintaining and evolving systems in production compared to time used for development is remarkably stable. When we compare public and private organizations in the last survey, we find a small difference on some variables, but these are not statistically significant, thus cannot be used to conclude that IT development and evolutions is conducted more poorly in public sector than in private sector.

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“…For example, some studies [6][7][8][9][10][11] have classified the changes into adaptive, corrective, and perfective; some of them have still a fourth category [9][10][11]. Other studies have classified changes into adaptive, preventive, and perfective [12][13][14][15][16][17] and four of these studies have classified changes into a fourth category: corrective [14][15][16][17]. One study has classified changes into planned enhancement, requirement modifications, optimization and "other" [18].…”

Section: Related Workmentioning

confidence: 99%

Experience Report on the Effect of Software Development Characteristics on Change Distribution

Gupta

Conradi

Shull

et al.

Product-Focused Software Process Improvement

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Abstract. This paper reports on an industrial case study in a large Norwegian Oil and Gas company (StatoilHydro ASA) involving a reusable Java-class framework and an application that uses that framework. We analyzed software changes from three releases of the framework and the application. On the basis of our analysis of the data, we found that perfective and corrective changes account for the majority of changes in both the reusable framework and the nonreusable application. Although adaptive changes are more frequent and has longer active time in the reusable framework, it went through less refactoring compared to the non-reusable application. For the non-reusable application we saw preventive changes as more frequent and with longer active time. We also found that designing for reuse seems to lead to fewer changes, as well as we saw a positive effect on doing refactoring.

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An empirical study of software maintenance of a Web-based Java application

Cited by 17 publications

References 14 publications

Change profiles of a reused class framework vs. two of its applications

Change profiles of a reused class framework vs. two of its applications

Comparing Private and Public Sector on Information Systems Development and Maintenance Efficiency

Experience Report on the Effect of Software Development Characteristics on Change Distribution

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