Software modularization operators

Rama, Girish Maskeri; Patel, Naineet

doi:10.1109/icsm.2010.5609546

Cited by 9 publications

(6 citation statements)

References 21 publications

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“…We also map major changes in conceptual quality with these modularization operators. As already reported in other studies [2,12], we show that module decomposition is a common operation in remodularizations. In this case, the new packages are usually more cohesive than the original package (in conceptual terms) and they also exhibit a higher degree of focus (i.e., usually there is a major and dominant concept in the new packages).…”

Section: Introductionsupporting

confidence: 68%

“…Rama and Patel formalized six elementary operators most likely to occur in any remodularization [12]. They validated these operators in three remodularization cases, discussing specific situations to which every operator was applied.…”

Section: Remodularization Definition and Operatorsmentioning

confidence: 97%

“…It requires a lot of program comprehension in order to point the changes to be made. Unlike small scale refactoring, there are no fast refactoring examples or some variety of tools to support remodularizations [12]. Indeed, remodularization is often applied in an advanced stage of architectural erosion [2,16].…”

Section: Remodularization Definition and Operatorsmentioning

confidence: 99%

“…To address this research question, we focused on the modularization operators proposed by Rama and Patel [12] (see Section II). For each remodularization, we collected the three clusters with the highest increase and decrease in spread and focus, separately.…”

Section: Remodularization Operators With Highest Impact In Semantimentioning

confidence: 99%

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Remodularization analysis using semantic clustering

Santos¹,

Valente²,

Anquetil

2014

2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)

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In this paper, we report an experience on using and adapting Semantic Clustering to evaluate software remodularizations. Semantic Clustering is an approach that relies on information retrieval and clustering techniques to extract sets of similar classes in a system, according to their vocabularies. We adapted Semantic Clustering to support remodularization analysis. We evaluate our adaptation using six real-world remodularizations of four software systems. We report that Semantic Clustering and conceptual metrics can be used to express and explain the intention of the architects when performing common modularization operators, such as module decomposition.

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Section: Introductionsupporting

confidence: 68%

Section: Remodularization Definition and Operatorsmentioning

confidence: 97%

Section: Remodularization Definition and Operatorsmentioning

confidence: 99%

Section: Remodularization Operators With Highest Impact In Semantimentioning

confidence: 99%

See 2 more Smart Citations

Remodularization analysis using semantic clustering

Santos¹,

Valente²,

Anquetil

2014

2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)

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“…Although they have built some program analysis tools (such as tools to extract functioncall information), they state that the refactoring step of the remodularization process has been completely manual. Rama and Patel [27] have analyzed several large software modularization projects in order to define recurring modularization operations, including module decomposition and union. However, they do not provide tool support for the proposed modularization operators.…”

Section: Related Workmentioning

confidence: 99%

Recommending Refactorings to Reverse Software Architecture Erosion

Terra

Valente

Czarnecki

et al. 2012

2012 16th European Conference on Software Maintenance and Reengineering

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Abstract-Architectural erosion is a recurrent problem faced by software architects. Despite this fact, the process is usually tackled in ad hoc way, without adequate tool support at the architecture level. To address this issue, we describe the preliminary design of a recommendation system whose main purpose is to provide refactoring guidelines for developers and maintainers during the task of reversing an architectural erosion process. The paper formally describes first recommendations proposed in our current research and results of their application in a web-based application.

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A recommendation system for repairing violations detected by static architecture conformance checking

et al. 2013

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SummaryThis paper describes a recommendation system that provides refactoring guidelines for maintainers when tackling architectural erosion. The paper formalizes 32 refactoring recommendations to repair violations raised by static architecture conformance checking approaches; it describes a tool—called ArchFix—that triggers the proposed recommendations; and it evaluates the application of this tool in two industrial‐strength systems. For the first system—a 21 KLOC open‐source strategic management system—our approach has indicated correct refactoring recommendations for 31 out of 41 violations detected as the result of an architecture conformance process. For the second system—a 728 KLOC customer care system used by a major telecommunication company—our approach has triggered correct recommendations for 624 out of 787 violations, as asserted by the system's architect. Moreover, the architects have scored 82% of these recommendations as having moderate or major complexity. Copyright © 2013 John Wiley & Sons, Ltd.

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Software modularization operators

Cited by 9 publications

References 21 publications

Remodularization analysis using semantic clustering

Remodularization analysis using semantic clustering

Recommending Refactorings to Reverse Software Architecture Erosion

A recommendation system for repairing violations detected by static architecture conformance checking

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