Open AccessProceedings Article10.1109/ICPC.2007.21

Evaluating Aspect Mining Techniques: A Case Study

- 26 Jun 2007

- pp 167-176

TL;DR: A case study examining three existing aspect mining techniques from the literature by applying them to four different open source Java applications in order to get better results with less manual intervention.

Abstract: Aspect mining aims at identifying cross-cutting concerns in existing systems and therefore advocates the adaption to an aspect-oriented design. This paper presents a case study examining three existing aspect mining techniques from the literature by applying them to four different open source Java applications. We compare and evaluate the individual technique and confirm the findings of a previous study of combining different aspect mining techniques in order to get better results with less manual intervention.

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Most frequently asked questions

1. What contributions have the authors mentioned in the paper "Evaluating aspect mining techniques: a case study" ?

This paper presents a case study examining three existing aspect mining techniques from the literature by applying them to four different open source java applications.. The authors compare and evaluate the individual technique and confirm the findings of a previous study of combining different aspect mining techniques in order to get better results with less manual intervention.

2. What are the future works in "Evaluating aspect mining techniques: a case study" ?

Future work mainly focuses on building a better aspect mining tool combining available aspect mining techniques.. Thus, another further work may focus on getting benefits from the program comprehension techniques in the manual analysis part of aspect mining.

Table 10. Percentage of concerns found by different techniques

Table 8. Detected concerns in JSokoApplet

Table 13. Concerns identified by either fan-in or dynamic analysis

Table 11. Percentage of false positives for selected concerns by different techniques

Table 12. Percentage of concern coverage for selected concerns by different techniques.

Citations

•Proceedings Article•10.1109/ASE.2008.38

Automated Aspect Recommendation through Clustering-Based Fan-in Analysis

Danfeng Zhang, +2 more

- 15 Sep 2008

TL;DR: Experiments on Linux and JHotDraw show that CBFA can provide accurate recommendations while improving aspect mining coverage significantly compared to other state-of-the-art mining approaches.

...read moreread less

Proceedings Article•10.1109/ICSTE.2010.5608880

Aspect mining using Self-Organizing Maps with method level dynamic software metrics as input vectors

Sayyed G. Maisikeli, +1 more

- 25 Oct 2010

TL;DR: It is shown that clustering based on easily extractable software features derived through method calls, parameter sharing and method interactions represented as dynamic metrics can be used to determine code scattering and or tangling, thereby providing a steppingstone towards identifying crosscutting concerns leading to mining of possible aspect candidates.

...read moreread less

Proceedings Article•10.1109/CSMR.2009.34

Improving the Dataflow-Based Concern Identification Approach

Mircea Trifu

- 24 Mar 2009

TL;DR: Three improvements to the identification approach are presented: the reduction of the search space for manual identification of concern seeds, the introduction of information sources as a mechanism to explicitly define concern boundaries and the separation of superimposed class roles.

...read moreread less

Proceedings Article•10.1109/SECON.2012.6196984

Aspect mining using model-based clustering

Renata Rand McFadden, +1 more

- 15 Mar 2012

TL;DR: This study shows that model-based clustering using a carefully selected vector-space of features can be more effective than extant aspect mining methods based on heuristic methods as such hierarchical or partitional clustering.

...read moreread less

Proceedings Article•10.1109/SECON.2013.6567402

Survey of aspect mining case study software and benchmarks

Renata Rand McFadden, +1 more

- 04 Apr 2013

TL;DR: It is concluded that there is a critical lack of standard benchmarks for aspect mining, which makes it difficult for new research to evaluate their techniques' quality through empirical validation and to reliably compare their results against other research.

...read moreread less

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References

Proceedings Article•10.1145/503209.503260

Aspect-oriented programming

Gregor Kiczales, +1 more

- 01 Sep 2001

TL;DR: This tutorial shows how to use AOP to implement crosscutting conerns in a concise modular way and includes a description of their underlying model, in terms of which a wide range of AOP languages can be understood.

...read moreread less

5.6K

•Journal Article•10.1109/TSE.2002.1019480

CCFinder: a multilinguistic token-based code clone detection system for large scale source code

Toshihiro Kamiya, +2 more

- 01 Jul 2002

- IEEE Transactions on Software Engineerin...

TL;DR: A new clone detection technique, which consists of the transformation of input source text and a token-by-token comparison, is proposed, which has effectively found clones and the metrics have been able to effectively identify the characteristics of the systems.

...read moreread less

1.9K

Proceedings Article•10.1109/WCRE.2004.13

Aspect mining through the formal concept analysis of execution traces

Paolo Tonella, +1 more

- 08 Nov 2004

TL;DR: The presence of crosscutting concerns, i.e., functionalities that are not assigned to a single modular unit in the implementation, is one of the major problems in software understanding and evolution.

...read moreread less

206

Proceedings Article•10.1109/SCAM.2004.15

Predicting class testability using object-oriented metrics

Magiel Bruntink, +1 more

- 15 Sep 2004

TL;DR: The goal of this work is to define and evaluate a set of metrics that can be used to assess the testability of the classes of a Java system.

...read moreread less

175

•Proceedings Article•10.1109/WCRE.2004.23

Identifying aspects using fan-in analysis

Marius Marin, +2 more

- 08 Nov 2004

TL;DR: This work describes a technique based on determining methods that are called from many different places (and hence have a high fan-in) to identify candidate aspects in a number of open-source Java systems, finding several concerns not previously discussed in the aspect-oriented literature.

...read moreread less

170

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Evaluating Aspect Mining Techniques: A Case Study

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1. What contributions have the authors mentioned in the paper "Evaluating aspect mining techniques: a case study" ?

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Citations

Automated Aspect Recommendation through Clustering-Based Fan-in Analysis

Aspect mining using Self-Organizing Maps with method level dynamic software metrics as input vectors

Improving the Dataflow-Based Concern Identification Approach

Aspect mining using model-based clustering

Survey of aspect mining case study software and benchmarks

References

Aspect-oriented programming

CCFinder: a multilinguistic token-based code clone detection system for large scale source code

Aspect mining through the formal concept analysis of execution traces

Predicting class testability using object-oriented metrics

Identifying aspects using fan-in analysis

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