Managing OO projects better

Nesi, Paolo

doi:10.1109/52.687945

Cited by 21 publications

(11 citation statements)

References 9 publications

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“…In general, the number of maintenance tasks for a project can be estimated based on the experience of the project manager or by analogy with previous similar projects. For example, a way to predict the number of maintenance tasks would be to study the correlation between complexity/size metrics of a software system under maintenance and the number of maintenance tasks (or bugs) [25,29,32]. However, other authors claim that this is not a good way to predict the number of maintenance tasks, as a system may be complex but also reliable and bug free [17,20].…”

Section: Applicability Of the Effort Prediction Modelsmentioning

confidence: 99%

“…Moreover, software costs are the result of a large number of parameters [9], so any estimation or control technique must reflect a large number of complex and dynamic factors. The predictor variables typically constitute a measure of size (measured in terms of LOC or a functional size measure) or complexity [10,32] and a number of productivity factors that are collected through a questionnaire [4,9]. The size of a maintenance task can also be used to estimate the effort required to implement the single change [23].…”

Section: Introductionmentioning

confidence: 99%

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Assessing effort estimation models for corrective maintenance through empirical studies

Lucia

Pompella

Stefanucci

2005

Information and Software Technology

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Section: Applicability Of the Effort Prediction Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessing effort estimation models for corrective maintenance through empirical studies

Lucia

Pompella

Stefanucci

2005

Information and Software Technology

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“…When a message is passed between two classes, the classes are coupled. These specific terms are defined in Tables 2 and 3 [11,18,23,5].…”

Section: Operationmentioning

confidence: 99%

Design Optimization Metrics for Uml Based Object-Oriented Systems

Ramaraj

Duraisamy²

2007

Int. J. Soft. Eng. Knowl. Eng.

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Design plays a key role in the development of software. The quality of design is crucial and is a fundamental decision element in assessing the software product. The early availability of design quality evaluation provides a better way to decide the quality of the final product. This avoids presumption in the quality evaluation process. Hence Software Metrics provide a valuable and objective insight of enhancing each of the software quality characteristics. This paper proposes a quality model to assess the design phase of any object-oriented system based on the works of Chidamber, Kemrer and Basili and suggests two new metrics. The research focuses on analyzing a set of metrics, which has direct influence on the quality of the software and creating a metrics tool based on Java that can be used to validate the object-oriented projects against these metrics. The analysis is carried out on a set of real world projects designed using Unified Modeling Language, which are used as test cases. These metrics and models are proposed to add more quality information in refining any object-oriented system during the early stages of design itself.

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“…Metrics have long been studied as a way to assess the quality of large software systems [9] and recently this has been applied to object-oriented systems as well [14], [18], [23], [22], [25]. However, a simple measurement is not sufficient to assess such complex thing as software quality [13], not to mention the reliability of the results [6].…”

Section: Metricsmentioning

confidence: 99%

A hybrid reverse engineering approach combining metrics and program visualisation

Demeyer¹,

Ducasse

Lanza

Sixth Working Conference on Reverse Engineering (Cat. No.PR00303)

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Surprising as it may seem, many of the early adopters of the object-oriented paradigm already face a number of problems typically encountered in large-scale legacy systems. Consequently, reverse engineering techniques are relevant in an object-oriented context as well. This paper investigates a hybrid approach, combining the immediate appeal of visualisations with the scalability of metrics. We validate such a hybrid approach by showing how CodeCrawler -the experimental platform we builtallowed us to understand the program structure of, and identify potential design anomalies in a public domain software system.

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Managing OO projects better

Cited by 21 publications

References 9 publications

Assessing effort estimation models for corrective maintenance through empirical studies

Assessing effort estimation models for corrective maintenance through empirical studies

Design Optimization Metrics for Uml Based Object-Oriented Systems

A hybrid reverse engineering approach combining metrics and program visualisation

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