Vers une approche d'analyse de l'impact du changement dans un système à objets

Abdi, Mustapha Kamel; Lounis, Hakim; Sahraoui, Houari; Rahmouni, Mustapha Kamel

doi:10.3166/objet.13.1.147-169

Cited by 3 publications

(7 citation statements)

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“…Results obtained in the second and third scenarios (see figures 3 and 4) confirm those already found in our former work [1], [2], and [3], by using a non probabilistic approach (see respectively rule 1 and rule 2 of figure 6). For example, the scenario 3 result (see figure 4) expressing that CBONA and CBOU metrics influence positively change impact, corresponds to the result illustrated by the causality rule 2 [2].…”

Section: Discussionsupporting

confidence: 92%

“…Moreover, in order to respect the BNs construction formalism, during the introduction of bonds between nodes, it is necessary to check the absence of cycles between network nodes. As already stated in section 2, we checked in [1], [2], and [3], the hypothesis claiming that coupling influences change impact in an object-oriented systems. However, if we consider at the same time all metrics measuring the various facets of coupling between classes, the BN construction is likely to be…”

Section: Graph Construction (Bn)mentioning

confidence: 96%

“…In other works [9], they also prove through case studies that Bayesian nets can provide relevant predictions, as well as incorporating the inevitable uncertainty, reliance on expert judgement, and incomplete information that are pervasive in software engineering. In this work, we try to explore this way of research and thus show the advantages of probabilistic approach using Bayesian nets compared to the approach adopted in our former work [1], [2], and [3]. In the following section, we present our approach (proposition) by explaining its different stages.…”

Section: Related Workmentioning

confidence: 98%

“…This study made it possible to determine the refactoring scenarios that can improve or deteriorate certain structural properties. Recently, in [1], [2], and [3], the authors also showed that coupling, measured by some metrics, influences change impact. On the other hand, in [8], Fenton and Neil show well the advantages of the causal-modelling approach using Bayesian networks compared to the naive regressionbased approach.…”

Section: Related Workmentioning

confidence: 99%

See 3 more Smart Citations

Predicting Change Impact in Object-Oriented Applications with Bayesian Networks

Abdi

Lounis

Sahraoui

2009

2009 33rd Annual IEEE International Computer Software and Applications Conference

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This study has to be considered as another step towards the proposal of assessment/predictive models in software quality. We consider in this work, that a probabilistic model using Bayesian nets constitutes an interesting alternative to non-probabilistic models suggested in the literature. Thus, we propose in this paper a probabilistic approach using Bayesian networks to analyze and predict change impact in object-oriented systems. An impact model is built and probabilities are assigned to network nodes. Data obtained from a real system are exploited to empirically study causality hypotheses between some software internal attributes and change impact. Several scenarios are executed on the network, and the obtained results confirm that coupling is a good indicator of change impact.

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Section: Discussionsupporting

confidence: 92%

Section: Graph Construction (Bn)mentioning

confidence: 96%

Section: Related Workmentioning

confidence: 98%

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Predicting Change Impact in Object-Oriented Applications with Bayesian Networks

Abdi

Lounis

Sahraoui

2009

2009 33rd Annual IEEE International Computer Software and Applications Conference

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“…This study made it possible to determine the refactoring scenarios that can improve or deteriorate certain structural properties. In [1], [2], [3], [20] and [21], the authors also showed that coupling, measured by some metrics, influences change impact. Recently, the authors in [22], [23] and [24] try to apply Bayesian networks to study and predict the behavior of software systems (usually coded in Java) to determine the key factors that influence the more the change impact in such systems.…”

Section: Related Workmentioning

confidence: 99%

Change Impact Identification in Object-Oriented System: Dependence Graph Approach

Abdi¹,

Zoheir²

2015

IJEME

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The development of software products consumes a lot of time and resources. On the other hand, these development costs are lower than maintenance costs, which represent a major concern, specially, for systems designed with recent technologies. Systems modification should be taken rigorously, and change effects must be considered. The need to offer tools allowing on the one hand, to explain the mechanisms of changes at the source code level, and on the other hand, to reduce the effort as well as the cost of maintenance, is affirmed more and more.We propose in this article an approach based on dependence graph to identify change impact of objectoriented systems. The analysis of change ripple effect is made on the dependence graph representing the considered system. The identification at graph level of maximum range of change ripple effect will enable us to know consequences change at code source of system. This knowledge will enable us to estimate the change cost and to make a compromise between the various suggested changes. Finally, to concretize this study we produced a tool and tested our approach on certain systems.

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Towards Group Decision Support in the Software Maintenance Process

Zoheir

Abdi

2022

International Journal of Decision Support System Technology

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Software maintenance is an element-key of the life cycle of software. However,the techniques of software maintenance do not consider the diversity and the complexity of decisions which do not stop increasing. So, there are at present a few tools, susceptible to insure the relevance and the efficiency of the decision-making in this phase. The work presented in this paper aims to eliminate or at least to reduce the effect to fall in an expensive change by reducing the time to find a compromise on the adequate change. The development of the decision support system for software maintenance is an answer to the problem. The developed tool allows:-to make a fast diagnosis on the software by using the coupling metrics;-to help the decision-makers of the maintenance, according to their preferences often conflicting, to adopt a change among several proposed. To answer this group decision where various points of view are considered, we propose a negotiation protocol. This protocol try to find a compromise that suits best all the decision-makers.

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Vers une approche d'analyse de l'impact du changement dans un système à objets

Cited by 3 publications

References 0 publications

Predicting Change Impact in Object-Oriented Applications with Bayesian Networks

Predicting Change Impact in Object-Oriented Applications with Bayesian Networks

Change Impact Identification in Object-Oriented System: Dependence Graph Approach

Towards Group Decision Support in the Software Maintenance Process

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