Quantifying software architectures: An analysis of change propagation probabilities

Abdelmoez, Walid; Shereshevsky, M.; Gunnalan, R.; Ammar, H.H.; Yu, Bo; Bogazzi, S.; Korkmaz, Mustafa; Mili, Ali

doi:10.1109/aiccsa.2005.1387113

Cited by 20 publications

(18 citation statements)

References 17 publications

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“…mandates changes) to other components. Abdelmoez et al used early life cycle information about software architecture to derive an analytical formula for estimating the change propagation probability .…”

Section: Related Workmentioning

confidence: 99%

“…With respect to the works that considered software architecture in relation to changes, our goal is quite different. Thus, while the goal of the study presented by Abdelmoez et al was to compute the change propagation probability and the goal of studies conducted by Zimmerman and Nagappan and by Bird et al was to predict the fault and/or failure proneness at code level, our goal is to characterize software fixes in terms of components and software artifacts that are typically fixed together in relation to individual software failures, which will help improve the efficiency of future fixes for products that undergo incremental development through multiple releases and need sustained engineering.…”

Section: Related Workmentioning

confidence: 99%

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Exploring the missing link: an empirical study of software fixes

Hamill

Goševa-Popstojanova

2013

Software Testing Verif & Rel

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Many papers have been published on analysis and prediction of software faults and/or failures, but few addressed the software fixes made to correct the faults and prevent failures from reoccurring. This paper contributes towards filling this gap by focusing on empirical characterization of software fixes. The results are based on the data extracted from a safety-critical NASA mission. In particular, 21 large-scale software components (which together constitute over 8000 files and millions of lines of code) were analysed. The unique characteristic of this work is the fact that links were established from software faults (i.e. the root causes) to (potential or observed) failures and consequently to fixes made to correct these faults. Specifically, for the fixes associated with individual failures, the spread across software components and types of software artifacts being fixed was studied. Our results showed that significant number of software failures required fixes in multiple software components and/or multiple software artifacts (i.e. 15% and 26%, respectively). The results also showed that the patterns of software components that were often fixed together were significantly affected by the software architecture. Furthermore, the types of fixed software artifacts were highly correlated with fault type and they had different distributions for prerelease and post-release failures.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Exploring the missing link: an empirical study of software fixes

Hamill

Goševa-Popstojanova

2013

Software Testing Verif & Rel

View full text Add to dashboard Cite

show abstract

“…With the increase of the complexity of software systems, the overall structure of the system is becoming more and more complicated, making the software structure become one of the most important factors that influences the quality of the final software products [4] . So the need to quantitatively analyze the quality of the structure has become eminent [5] .…”

Section: Introductionmentioning

confidence: 99%

Measuring Structural Quality of Object-Oriented Softwares via Bug Propagation Analysis on Weighted Software Networks

Pan

et al. 2010

J. Comput. Sci. Technol.

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The quality of a software system is partially determined by its structure (topological structure), so the need to quantitatively analyze the quality of the structure has become eminent. In this paper a novel metric called software quality of structure (SQoS) is presented for quantitatively measuring the structural quality of object-oriented (OO) softwares via bug propagation analysis on weighted software networks (WSNs). First, the software systems are modeled as a WSN, weighted class dependency network (WCDN), in which classes are nodes and the interaction between every pair of classes if any is a directed edge with a weight indicating the probability that a bug in one class will propagate to the other. Then we analyze the bug propagation process in the WCDN together with the bug proneness of each class, and based on this, a metric (SQoS) to measure the structural quality of OO softwares as a whole is developed. The approach is evaluated in two case studies on open source Java programs using different software structures (one employs design patterns and the other does not) for the same OO software. The results of the case studies validate the effectiveness of the proposed metric. The approach is fully automated by a tool written in Java.

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“…The second objective is to implement algorithms to estimate various metrics like error propagation, change propagation and size of change metrics on both Java based applications and UMLRT models. [3]. The third objective is to work with the specific architectural attribute change propagation (CP).…”

Section: Research Objectivesmentioning

confidence: 99%

“…Change propagation probability CP= [cp ij ] for an architecture is the conditional probability that a change originating in one component of the architecture requires changes to be made to other components. The estimation of the elements cp ij of the change propagation matrix CP is based on the following definition [3]:…”

Section: Change Propagation Probability Metric (Cp)mentioning

confidence: 99%

Web-based tool for software architecture metrics

Shaik¹

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Quantifying software architectures: An analysis of change propagation probabilities

Cited by 20 publications

References 17 publications

Exploring the missing link: an empirical study of software fixes

Exploring the missing link: an empirical study of software fixes

Measuring Structural Quality of Object-Oriented Softwares via Bug Propagation Analysis on Weighted Software Networks

Web-based tool for software architecture metrics

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