A Comparative Analysis of Maintainability Approaches for Web Applications

Ghosheh, Emad; Qaddour, Jihad; Kuofie, Matthew; Black, Sue

doi:10.1109/aiccsa.2006.205235

Cited by 11 publications

(6 citation statements)

References 27 publications

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“…We can obtain maintenance time from the following ways: stating historical data, the measure data, expert determination, simulation and synthesis models, designing checklist, inference method and the table method. 21,22 Here, we divide the allocation model into two: the model of high-level product units and the model of low-level product units.…”

Section: The Basic Principle Of the New Methodsmentioning

confidence: 99%

A System's Mean Time To Repair Allocation Method Based on the Time Factors

Zhou

et al. 2013

Quality & Reliability Eng

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The aim of the maintenance allocation is to allocate the maintenance time to the subsystems reasonably and accurately. Traditional mean time to repair (MTTR) allocation methods are widely used in the industry. However, there are many deficiencies in practical application, which is inconsistent with the purpose of the maintenance allocation. To allocate the MTTR more precisely and reasonably, a better model is needed. The aim of this paper is to develop a maintenance allocation model, which can improve the applicability and operability, and solve the residue problem that exists in maintenance allocation. A case study is used to demonstrate how the model can be applied in practice. Copyright © 2013 John Wiley & Sons, Ltd.

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Section: The Basic Principle Of the New Methodsmentioning

confidence: 99%

A System's Mean Time To Repair Allocation Method Based on the Time Factors

Zhou

et al. 2013

Quality & Reliability Eng

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“…Emad Ghosheh et al [12] compare a number of papers that define and use web maintainability metrics. These are mostly source code metrics that predict maintainability of web applications.…”

Section: Related Workmentioning

confidence: 99%

Crawlability Metrics for Web Applications

Alshahwan

Harman

Marchetto

et al. 2012

2012 IEEE Fifth International Conference on Software Testing, Verification and Validation

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Abstract-Automated web crawlers can be used to explore and exercise portions of a web application under test. However, the possibility to achieve full exploration of a web application through automated crawling is severely limited by the choice of the input values submitted with forms. Depending on the crawler's capabilities, a larger or smaller portion of web application will be automatically explored.In this paper, we introduce web crawlability metrics to quantify properties of application pages and forms that affect crawlability. Moreover, we show that our metrics can be used to identify the boundaries between those parts of the application that can be successfully crawled automatically and those parts that will require manual intervention or other crawlability support. We have validated our crawlability metrics on real web applications, for which low crawlability was indeed associated with the existence of pages never exercised during automated crawling.

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“…Case Based Reasoning [14] is an approach that uses a number of projects features stored in a database to predict the effort of the current project. Further details of web application maintainability approaches are given in [9]. …”

Section: Related Workmentioning

confidence: 99%