Yiannis Kanellopoulos

• PhD
• The University of Manchester

Software plays a crucial role in modern societies. Not only do people rely on it for their daily operations or business, but also for their lives as well. For this reason, correct and consistent behavior of software systems is a fundamental and critical part of end-user expectations. Additionally, businesses require cost-effective production, maint...

We performed an empirical study of the relation between technical quality of software products and the issue resolution performance of their maintainers. In particular, we tested the hypothesis that ratings for source code maintainability, as employed ...

Clustering is a data analysis technique, particularly useful when there are many dimensions and little prior information about the data. Partitional clustering algorithms are efficient but suffer from sensitivity to the initial partition and noise. We propose here k-attractors, a partitional clustering algorithm tailored to numeric data analysis. A...

This work proposes a methodology for source code quality and static behaviour evaluation of a software system, based on the standard ISO/IEC-9126. It uses elements automatically derived from source code enhanced with expert knowledge in the form of quality characteristic rankings, allowing software engineers to assign weights to source code attribu...

This work proposes a methodology for source code quality and static behaviour evaluation of a softwaresystem, based on the standard ISO/IEC-9126. It uses elements automatically derived from source codeenhanced with expert knowledge in the form of quality characteristic rankings, allowing softwareengineers to assign weights to source code attributes...

Software is playing a crucial role in modern societies. Not only do people rely on it for their daily operations or business, but for their lives as well. For this reason, correct and consistent behaviour of software systems is a fundamental part of end user expectations. Additionally, businesses require cost-effective production, maintenance, and...

The ISO/IEC 9126 international standard for software product quality is a widely accepted reference for terminology regarding the multi-faceted concept of software product quality. Based on this standard, the Software Improvement Group has developed a pragmatic approach for measuring technical quality of software products. This quality model introd...

Abstract This paper presents ongoing work on using data mining clustering to support the evaluation of software systems’ maintainability. As input for our analysis we employ software measurement,data extracted from Java source code. We propose a two-steps clustering process which facilitates the assessment of a system’s maintainability at rst, and...

The aim of the Code4Thought project was to deliver a tool supported methodology that would facilitate the evaluation of a software product's quality according to ISO/IEC-9126 software engineering quality standard. It was a joint collaboration between Dynacomp S.A. and the Laboratory for Graphics, Multimedia and GIS of the Department of Computer Eng...

Clustering is a data mining technique that allows the grouping of data points on the basis of their similarity with respect to multiple dimensions of measurement. It has also been applied in the software engineering domain, in particular to support software quality assessment based on source code metrics. Unfortunately, since clusters emerge from m...

Clustering is particularly useful in problems where there is little prior information about the data under analysis. This is usually the case when attempting to evaluate a software system's maintainability, as many dimensions must be taken into account in order to reach a conclusion. On the other hand partitional clustering algorithms suffer from b...

This paper presents a methodology for knowledge acquisition from source code. We use data mining to support semi-automated software maintenance and comprehension and provide practical insights into systems specifics, assuming one has limited prior familiarity with these systems.We propose a methodology and an associated model for extracting informa...

This paper presents ongoing work on using data mining to evaluate a software system's maintainability according to the ISO/IEC-9126 quality standard. More specifically it proposes a methodology for knowledge acquisition by integrating data from source code with the expertise of a software system's evaluators A process for the extraction of elements...

Data mining and its capacity to deal with large volumes of data and to uncover hidden patterns has been proposed as a means to support industrial scale software maintenance and comprehension. This paper presents a methodology for knowledge acquisition from source code in order to comprehend an object-oriented system and evaluate its maintainability...

This paper presents ongoing work on using data mining to discover knowledge about software systems thus facilitating program comprehension. We discuss how this work fits in the context of tool supported maintenance and comprehension and report on applying a new methodology on C++ programs. The overall framework can provide practical insights and gu...