An empirical analysis on distribution patterns of software maintenance effort

Yang, Ye; Li, Qi; Li, Mingshu; Wang, Qing

doi:10.1109/icsm.2008.4658103

Cited by 10 publications

(6 citation statements)

References 9 publications

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“…Their results show that the design phase is the most expensive, consuming about 38% of total effort, while the analysis and implementation phases account for small proportions, about 11% each. These results are somewhat contrary the results reported in Yang et al's [32]. A more recent study reported by the same authors (De Lucia et al) presents estimation models and the distribution of effort from a different project in the same organization [14].…”

Section: Related Workcontrasting

confidence: 64%

“…The study provides evolutional trends on the relative effort distribution of four technical phases (analysis, design, implementation, and test) across four versions of the project, showing that the proportion of implementation effort tends to decrease from the first version to the forth, while the proportion of analysis effort follows a reversed trend. Similarly, Yang et al [32] present results from an empirical study on the effort distribution of a series of 9 projects delivering respective 9 versions a software product. All projects are maintenance type except the first project which delivers the first version of the series.…”

Section: Related Workmentioning

confidence: 99%

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A controlled experiment in assessing and estimating software maintenance tasks

Nguyen

Boehm

Danphitsanuphan

2011

Information and Software Technology

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Section: Related Workcontrasting

confidence: 64%

Section: Related Workmentioning

confidence: 99%

A controlled experiment in assessing and estimating software maintenance tasks

Nguyen

Boehm

Danphitsanuphan

2011

Information and Software Technology

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“…Though most are medium, small-sized software organizations and companies, the application domains come across telecommunication, financial, government, energy, education, etc. Existing research and reports has reported its effectiveness in several cases [24][25][26].…”

Section: B Software Process Management Toolsmentioning

confidence: 96%

A Case Study on Usage of a Software Process Management Tool in China

Yang

Lin

et al. 2010

2010 Asia Pacific Software Engineering Conference

Self Cite

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Nowadays, commercial or in-house customized process management tools have been prevalently adopted for supporting software project management and process improvement. In this paper we report a case study to empirically investigate and evaluate the usage status and implications of a supporting tool named QONE in industrial environment in China. Decision theory is adopted in study design. The analysis is mainly based on the usage data from a typical industrial project. Further questionnaires and followup interviews with the end-users are also conducted. The analysis results reveal that 1) the effects of such supporting tool vary with respect to different task types; 2) tasks with smaller granularity are comparatively easier to predict and control; 3) missing data reporting analysis helps to reveal opportunities for further process improvement and tool enhancement. This investigation aims to help us take advantages of such supporting tools and benefit software development eventually.

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“…To achieve acceptable quality, software project teams devote a substantial portion of the total development effort to perform testing. According to industry reports, software testing consumes about 10-25% of the total project effort, and on some projects this number may reach 50% [1].…”

Section: Introductionmentioning

confidence: 99%

qEstimation: a process for estimating size and effort of software testing

Nguyen

Pham²,

Lãm

2013

Proceedings of the 2013 International Conference on Software and System Process

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Software testing is an essential activity of the software development lifecycle. To ensure quality, applicability, and usefulness of a product, development teams must spend considerable time and resources testing, which makes the estimation of the software testing effort, a critical activity. This paper describes a simple process, which we name qEstimation, to estimate the size and effort of the software testing activities. The process incorporates a proposed approach to measuring the size of the test case based on its checkpoints, preconditions and test data, as well as the type of testing. To investigate the practicality of the process, we apply it to estimate the size and effort of two outsourcing testing projects at a software company. In these projects, the estimates produced by the process are more accurate than those estimated by individual testers using their pure experience. This result indicates that our approach can be useful to estimating similar testing projects in practice.

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An empirical analysis on distribution patterns of software maintenance effort

Abstract: Abstract

Cited by 10 publications

References 9 publications

A controlled experiment in assessing and estimating software maintenance tasks

A controlled experiment in assessing and estimating software maintenance tasks

A Case Study on Usage of a Software Process Management Tool in China

qEstimation: a process for estimating size and effort of software testing

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