Do Crosscutting Concerns Cause Defects?

Eaddy, Marc; Zimmermann, Thomas; Sherwood, Kaitlin Duck; Garg, Vedant; Murphy, Gail C.; Nagappan, Nachiappan; Aho, Alfred V.

doi:10.1109/tse.2008.36

Cited by 200 publications

(235 citation statements)

References 45 publications

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“…They defined a concern model and conducted an analysis on three systems, finding a significant and moderate correlation between the scattering degree of a crosscutting concern and the fault proneness of the concern code. There are differences between the present work and the work of Eaddy et al [9]:…”

Section: Crosscutting Concern Fault Pronenesscontrasting

confidence: 83%

“…Recently, Eaddy et al [9] presented an empirical study addressing the role of crosscutting on the number of defects in a program. They defined a concern model and conducted an analysis on three systems, finding a significant and moderate correlation between the scattering degree of a crosscutting concern and the fault proneness of the concern code.…”

Section: Crosscutting Concern Fault Pronenessmentioning

confidence: 99%

“…A number of metrics have been proposed to measure crosscut attributes, such as the concern diffusion, level of concentration, scattering degree, and degree of focus [9,10,14]. In the context of our analysis we are interested in the degree of scattering of a design pattern over its clients, that is the number of callers spread among different classes with respect to the number of callees main participants of a design pattern.…”

Section: Scattering Degreementioning

confidence: 99%

“…Guéhéneuc and Albin-Amiot [15] found that a proper usage of design patterns reduces the number of defects. On the other hand, other studies-in particular a recent study by Eaddy et al [9]-indicated the presence of a correlation between the scattering degree of a concern and the likelihood its implementation has to contain defects. Thus, crosscutting concerns make the code more difficult to be maintained, because changes need to be made in several distinct locations.…”

mentioning

confidence: 95%

“…On one hand, as indicated by Eaddy et al [9], an increasing scattering degree of the crosscutting concern can in turn increase the number of defects, since developers have to change scattered code. On the other hand, when design pattern clients-i.e., classes invoking the design pattern-undergo changes, it is not guaranteed that the pattern code is left unchanged.…”

mentioning

confidence: 99%

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Relationship between design patterns defects and crosscutting concern scattering degree: an empirical study

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Penta

2009

IET Softw.

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Section: Crosscutting Concern Fault Pronenesscontrasting

confidence: 83%

Section: Crosscutting Concern Fault Pronenessmentioning

confidence: 99%

Section: Scattering Degreementioning

confidence: 99%

mentioning

confidence: 95%

mentioning

confidence: 99%

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Relationship between design patterns defects and crosscutting concern scattering degree: an empirical study

Cerulo

Penta

2009

IET Softw.

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The impact of vocabulary normalization

Binkley

Lawrie

2015

J Software Evolu Process

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Software development, evolution, and maintenance depend on ever increasing tool support. Recent tools have incorporated increasing analysis of the natural language found in source code, predominately in the identifiers and comments. However, when coders combine abbreviations and acronyms to form multiword identifiers, they, in essence, invent new vocabulary making the source code's vocabulary differ from that of other software artifacts. This vocabulary mismatch is a potential problem for many techniques imported from information retrieval and natural language processing, which implicitly assume the use of a single common vocabulary. Vocabulary normalization aims to bring the vocabulary of the source in line with that of other artifacts.A prior small-scale experiment demonstrated the value of vocabulary normalization for C code. A more comprehensive experiment using Java code is presented where normalization fails to bring benefit. To investigate the potential underlying causes, over 20,000 non-dictionary words extracted from the program JabRef were normalized by hand (often requiring significant external information). The experiment, repeated using the hand-normalized identifiers, again found that normalization brought no improvement. In response to this unexpected result, the vocabulary differences between Java and C codes are considered and used to help frame directions for future work.

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Mining static and dynamic crosscutting concerns: a role‐based approach

Bernardi

Cimitile

Lucca

2016

J Software Evolu Process

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The implementation of crosscutting concerns in object-oriented (OO) systems entails scattering and tangling of code across several components increasing code duplication and making the system harder to comprehend, maintain, evolve and reuse. Therefore, identification of crosscutting concerns drives the reengineering or refactoring tasks in order to improve modularization of an existing system and increasing its overall internal quality. This paper proposes an approach to identify and analyse the components implementing the static and dynamic crosscutting in OO systems. The approach defines a meta-model representing the structure of an OO system in terms of its components. A static analysis of an OO software system is performed to create an instance of this meta-model. Such meta-model is finally analysed to find static and dynamic crosscutting among concerns. The effectiveness and efficiency of the proposed approach have been validated in an empirical assessment where it was applied to some OO java systems. The obtained results show a good level of effectiveness for the crosscutting analysis.

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Do Crosscutting Concerns Cause Defects?

Cited by 200 publications

References 45 publications

Relationship between design patterns defects and crosscutting concern scattering degree: an empirical study

Relationship between design patterns defects and crosscutting concern scattering degree: an empirical study

The impact of vocabulary normalization

Mining static and dynamic crosscutting concerns: a role‐based approach

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