Bart Du Bois

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Sebastián Ventura

Universidad de Córdoba

Debajyoti Mukhopadhyay

Mumbai University

Sylvester Olubolu Orimaye

Monash University

Janaka I Wijayanayake

University of Kelaniya

Al-mutazbellah itaiwi

Al Maaref University

Scott L. Bruce

University of Tennessee Chattanooga

Jan Hrnčíř

Czech Technical University in Prague

Juan Carlos Gomez

Universidad de Guanajuato

Chaitra Bhaskar

Constructor University Bremen gGmbH

mohamed adan

Kenya Institute of Management

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Papers by Bart Du Bois

A Discussion of Refactoring in Research and Practice

Opportunities and challenges in deriving metric impacts from refactoring postconditions

A Study of Quality Improvements By Refactoring

Supporting Reengineering Scenarios with FETCH: an Experience Report

Theexplorationandanalysisoflargesoftwaresystemsisalabor-intensive activity in need of tool suppor... more Theexplorationandanalysisoflargesoftwaresystemsisalabor-intensive activity in need of tool support. In recent years, a number of tools have been devel- oped that provide key functionality for standard reverse engineering scenarios, such as (i) metric analysis; (ii) anti-pattern detection; (iii) dependency analysis; and (iv) visualization. However, either these tools support merely a subset of this list of scenarios, they are not made available to the research community for comparison or extension, or they impose strict restrictions on the source code. Accordingly, we observe a need for an extensible and robust open source alternative, which we present in this paper. Our main contributions are (i) a comparison among existing solutions; (ii) a clarification of useful reverse engineering scenarios; and (iii) an ex- perience report on four recent cases illustrating the usefulness of tool support for these scenarios in an industrial setting.

Using Refactoring Techniques to Exploit Variability in Conceptual Modeling

The term variability refers to the possibility of build-ing different correct conceptual models f... more The term variability refers to the possibility of build-ing different correct conceptual models for a given set of requirements in a given modeling language (for example, UML or the Entity Relationship model). We call each model a variant of the others. In previous work, we presented a framework identifying 3 different types of variability. These 3 types of differences have been shown to be present even under restrictive conditions; or in other words, these 3 types can occur in almost any modeling effort. Moreover, con-trolled experiments have shown that some of these types of variability affect quality characteristics such as the evolv-ability of the conceptual model. This suggests that a devel-oper has to choose the variant with the most appropriate quality characteristics. However, changes in the environ-ment of the information system over time can make other variants more appropriate. This paper focuses on the ques-tion whether a developer can still switch to another vari-ant la...

IWPSE2005-Demeyer-LAN

Opportunities and challenges in deriving metric impacts from refactoring postconditions

Does the "Refactor to Understand" Reverse Engineering Pattern Improve Program Comprehension?

Ninth European Conference on Software Maintenance and Reengineering, 2005

On The Detection of Test Smells: A Metrics-Based Approach for General Fixture and Eager Test

IEEE Transactions on Software Engineering, 2000

Using Refactoring Techniques to Exploit Variability in Conceptual Modeling

ERCIM-ESF Workshop, Challenges in …, 2005

Supporting reengineering scenarios with FETCH: an experience report

… of the EASST, 2008

Doctoral Symposium Committee

computer.org

Anthony Cleve, Facultés Universitaires Notre-Dame de la Paix de Namur, Belgium Bart Du Bois, Univ... more Anthony Cleve, Facultés Universitaires Notre-Dame de la Paix de Namur, Belgium Bart Du Bois, University of Antwerp, Belgium Christian Lange, Technical University of Eindhoven, The Netherlands Tarja Systä, Tampere University of Technology, Finland ... Silvia Breu, University of Cambridge, UK Martin Pinzger, University of Zurich, Switzerland Denys Poshyvanyk, College of William & Mary, USA Romain Robbes, University of Lugano, Switzerland Adrian Schröter, University of Victoria, Canada ... Manar H. Alalfi Mario Luca Bernardi Cornelia Boldyreff ...

Opportunities and challenges in deriving metric impacts from refactoring postconditions

SERIOUS: Software Evolution, Refactoring, Improvement of Operational  and Usable Systems

by Boni García, Juan Duenas, and Bart Du Bois

2009 13th European Conference on Software Maintenance and Reengineering, 2009

Software intensive systems evolve during their lifetime, which inevitably results in degrading so... more Software intensive systems evolve during their lifetime, which inevitably results in degrading software quality. In order to extend the lifetime of their products, organizations must adopt a more mature - evolutionary - software development approach that pays attention to quality aspects during all phases of the product life cycle. In this paper we list the achievements and lessons learned that

Opportunities and challenges in deriving metric impacts from refactoring postconditions

Refactoring - transforming the source-code of an object-oriented program without changing its ext... more Refactoring - transforming the source-code of an object-oriented program without changing its external observable be- haviour - is a restructuring process aimed at resolving evolution obstacles. Currently however, the efficiency of the refactor process in terms of quality improvements remains unclear. Such quality improvement can be expressed in terms of an impact on OO metrics. The formalization of these metrics

Empirical studies in reverse engineering: state of the art and future trends

Empirical Software Engineering, 2007

Starting with the aim of modernizing legacy systems, often written in old programming languages, ... more Starting with the aim of modernizing legacy systems, often written in old programming languages, reverse engineering has extended its applicability to virtually every kind of software system. Moreover, the methods originally designed to recover a diagrammatic, high-level view of the target system have been extended to address several other problems faced by programmers when they need to understand and modify existing software. The authors’ position is that the next stage of development for this discipline will necessarily be based on empirical evaluation of methods. In fact, this evaluation is required to gain knowledge about the actual effects of applying a given approach, as well as to convince the end users of the positive cost–benefit trade offs. The contribution of this paper to the state of the art is a roadmap for the future research in the field, which includes: clarifying the scope of investigation, defining a reference taxonomy, and adopting a common framework for the execution of the experiments.

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Towards an Ontology of Factors Influencing Reverse Engineering

In the context of the workshop's discussion on a general framework for empirical studies, this pa... more In the context of the workshop's discussion on a general framework for empirical studies, this paper stresses the need for an ontology of factors influencing the application of reverse engineering techniques. Extracts from existing ontologies are used to illustrate the diversity of such factors. Accordingly, a methodology is required to guide the construction of the proposed ontology. This position paper aims to stimulate a discussion concerning the construction and refinement of a reverse engineering ontology as a valid asset in the composition of the general framework.

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A Qualitative Investigation of UML Modeling Conventions

Analogue to the more familiar notion of coding conventions, modeling conventions attempt to ensur... more Analogue to the more familiar notion of coding conventions, modeling conventions attempt to ensure uniformity and prevent common modeling defects. While it has been shown that modeling conventions can decrease defect density, it is currently unclear whether this decreased defect density results in higher model quality, i.e., whether models created with modeling conventions exhibit higher fitness for purpose. In a controlled experiment with 27 master-level computer science students, we evaluated quality differences between UML analysis and design models created with and without modeling conventions. We were unable to discern significant differences w.r.t. the clarity, completeness and validity of the information the model is meant to represent. We interpret our findings as an indication that modeling conventions should guide the analyst in identifying what information to model, as well as how to model it, lest their effectiveness be limited to optimizing merely syntactic quality.

Characterizing the Relative Significance of a Test Smell

Test code, just like any other code we write, erodes when frequently changed. As such, refactorin... more Test code, just like any other code we write, erodes when frequently changed. As such, refactoring, which has been shown to impact maintainability and comprehensibility, can be part of a solution to counter this erosion. We propose a metric-based heuristical approach, which allows to rank occurrences of so-called test smells (i.e. symptoms of poorly designed tests) according to their relative significance. This ranking can subsequently be used to start refactoring. Through an open-source case study, ArgoUML, we demonstrate that we are able to identify those test cases who violate unit test criteria.

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How Webmining and Coupling Metrics Improve Early Program Comprehension

During initial program comprehension, software engineers could benefit from knowing the most need... more

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A Discussion of Refactoring in Research and Practice

Opportunities and challenges in deriving metric impacts from refactoring postconditions

A Study of Quality Improvements By Refactoring

Supporting Reengineering Scenarios with FETCH: an Experience Report

Using Refactoring Techniques to Exploit Variability in Conceptual Modeling

IWPSE2005-Demeyer-LAN

Opportunities and challenges in deriving metric impacts from refactoring postconditions

Does the "Refactor to Understand" Reverse Engineering Pattern Improve Program Comprehension?

Ninth European Conference on Software Maintenance and Reengineering, 2005

On The Detection of Test Smells: A Metrics-Based Approach for General Fixture and Eager Test

IEEE Transactions on Software Engineering, 2000

Using Refactoring Techniques to Exploit Variability in Conceptual Modeling

ERCIM-ESF Workshop, Challenges in …, 2005

Supporting reengineering scenarios with FETCH: an experience report

… of the EASST, 2008

Doctoral Symposium Committee

computer.org

Opportunities and challenges in deriving metric impacts from refactoring postconditions

SERIOUS: Software Evolution, Refactoring, Improvement of Operational  and Usable Systems

by Boni García, Juan Duenas, and Bart Du Bois

2009 13th European Conference on Software Maintenance and Reengineering, 2009

Opportunities and challenges in deriving metric impacts from refactoring postconditions

Empirical studies in reverse engineering: state of the art and future trends

Empirical Software Engineering, 2007

Download

Towards an Ontology of Factors Influencing Reverse Engineering

Download

A Qualitative Investigation of UML Modeling Conventions

Characterizing the Relative Significance of a Test Smell

Download

How Webmining and Coupling Metrics Improve Early Program Comprehension

During initial program comprehension, software engineers could benefit from knowing the most need... more

Download

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