Reverse Engineering of Design Patterns from Java Source Code

Shi, Nija; Olsson, Ronald A.

doi:10.1109/ase.2006.57

Cited by 144 publications

(78 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…We describe and analyze in the paper the results obtained with four tools for design motif detection: Design Pattern Detection Tool [TCSH06] (which we will refer to as DPD Tool from now on), PINOT [SO06], Web of Patterns [DE07] and FUJABA [NNZ00]. We will show the results we obtained by analyzing the JHotDraw framework and will observe how our refinement process helps in reducing, for some design patterns, the number of false positives produced by the detection tools.…”

Section: Journal Of Object Technology Vol 10 2011mentioning

confidence: 99%

“…Each one is based on a different approach, adopts different strategies to detect motifs, and in general can identify only a subset of the defined motifs. In this paper we focus on the evaluation of four known tools, namely DPD Tool [TCSH06], PINOT [SO06], FUJABA [NNZ00] and Web of Patterns [DE07] and we report the results obtained by these tools in the analysis of the JHotDraw 6.0b1 framework [Bra]. We focus our attention on this system because the development of JHotDraw demonstrates the practical application of design patterns in a software project.…”

Section: Detection Of Design Motifs Through Four Design Motif Detectimentioning

confidence: 99%

“…Pinot [SO06] is a modification of Jikes, IBM's Java compiler, developed to detect various design motifs based on static rule-based analysis. The authors present a reverse engineering oriented reclassification of the GoF design patterns into different categories: patterns provided by the programming language, syntax-based patterns, semantic based patterns and domain-specific patterns.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Using Design Pattern Clues to Improve the Precision of Design Pattern Detection Tools.

Fontana¹,

Zanoni²,

Maggioni³

2011

JOT

View full text Add to dashboard Cite

Design pattern detection, or rather the detection of structures that match design patterns, is useful for reverse engineering, program comprehension and for design recovery as well as for re-documenting object-oriented systems. Finding design patterns inside the code gives hints to software engineers about the methodologies adopted and the problems found during its design phases, and helps the engineers to evolve and maintain the system. In this paper, we present the results provided by four different design pattern detection tools on the analysis of JHotDraw 6.0b1, a well-known Java GUI framework. We show that the tools generally provide different results, even while evaluating the same system. From this observation, we introduce an approach based on micro structures detection that aims to discard the false positives from the detected results, hence improving the precision of the analyzed tools results. For this purpose we exploit a set of micro structures called design pattern clues, which give useful hints for the detection of design patterns.

show abstract

Section: Journal Of Object Technology Vol 10 2011mentioning

confidence: 99%

Section: Detection Of Design Motifs Through Four Design Motif Detectimentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Using Design Pattern Clues to Improve the Precision of Design Pattern Detection Tools.

Fontana¹,

Zanoni²,

Maggioni³

2011

JOT

View full text Add to dashboard Cite

show abstract

“…The results of presented approach show maximum recall, however, the precision of pattern recovery is compromised. N. Shi et al [7], developed an automated design pattern recognition tool, PINOT. PINOT is built on an open source (IJACSA) International Journal of Advanced Computer Science and Applications, Vol.…”

Section: Related Workmentioning

confidence: 99%

“…Accurately recovered design patterns helps to understand the structure and behavior of the application [3][4][5][6][7]. Therefore, they can be used in better program understanding, reverse engineering, reengineering and refactoring [4][5][6][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Detection of J2EE Patterns based on Customizable Features

Mushtaq¹,

Rasool²,

Shahzad³

2017

ijacsa

View full text Add to dashboard Cite

Abstract-Design patterns support extraction of design information for better program understanding, reusability and reengineering. With the advent of contemporary applications, the extraction of design information has become quite complex and challenging. These applications are multilingual in nature i.e. their design information is spread across various language components that are interlinked with each other. At present, no approach is available that is capable to extract design information of multilingual applications by using design patterns. This paper lays foundation for the analysis of multilingual source code for the detection of J2EE Patterns.

show abstract