In this paper, we describe the extraction of source code metrics from the Jazz repository and the application of data mining techniques to identify the most useful of those metrics for predicting the success or failure of an attempt to construct a working instance of the software product. We present results from a systematic study using the J48 classification method. The results indicate that only a relatively small number of the available software metrics that we considered have any significance for predicting the outcome of a build. These significant metrics are discussed and implication of the results discussed, particularly the relative difficulty of being able to predict failed build attempts
One of the important aims of the continuous software development process is to localize and remove a...
International audienceMore and more companies would like to mine software data with the goal of asse...
Software quality monitoring and analysis are among the most productive topics in software engineerin...
In this paper, we describe the extraction of source code metrics from the Jazz repository and the ap...
In this paper, we describe the extraction of source code metrics from the Jazz repository and the ap...
In this paper, we describe the extraction of source code metrics from the Jazz repository and the ap...
Context: Software development projects involve the use of a wide range of tools to produce a softwar...
This thesis details the design, implementation and evaluation of software prediction models designed...
Context. Software testing is the process of finding faults in software while executing it. The resul...
This paper explores the concepts of modelling a software development project as a process that resul...
Machine learning has been increasingly used to solve various software engineering tasks. One example...
In this research we use a data stream approach to mining data and construct decision Tree models tha...
International audienceMore and more companies would like to mine software data with the goal of asse...
Large software projects are subject to quality risks of having defective modules that will cause fai...
AbstractLarge software projects are subject to quality risks of having defective modules that will c...
One of the important aims of the continuous software development process is to localize and remove a...
International audienceMore and more companies would like to mine software data with the goal of asse...
Software quality monitoring and analysis are among the most productive topics in software engineerin...
In this paper, we describe the extraction of source code metrics from the Jazz repository and the ap...
In this paper, we describe the extraction of source code metrics from the Jazz repository and the ap...
In this paper, we describe the extraction of source code metrics from the Jazz repository and the ap...
Context: Software development projects involve the use of a wide range of tools to produce a softwar...
This thesis details the design, implementation and evaluation of software prediction models designed...
Context. Software testing is the process of finding faults in software while executing it. The resul...
This paper explores the concepts of modelling a software development project as a process that resul...
Machine learning has been increasingly used to solve various software engineering tasks. One example...
In this research we use a data stream approach to mining data and construct decision Tree models tha...
International audienceMore and more companies would like to mine software data with the goal of asse...
Large software projects are subject to quality risks of having defective modules that will cause fai...
AbstractLarge software projects are subject to quality risks of having defective modules that will c...
One of the important aims of the continuous software development process is to localize and remove a...
International audienceMore and more companies would like to mine software data with the goal of asse...
Software quality monitoring and analysis are among the most productive topics in software engineerin...