Defect Data Analysis as Input for Software Process Improvement

Raninen, Anu; Toroi, Tanja; Vainio, Hannu; Ahonen, Jarmo J.

doi:10.1007/978-3-642-31063-8_2

Cited by 6 publications

(7 citation statements)

References 5 publications

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“…We conducted a preliminary study in spring in 2011 to find out what the most common defect types are and how this information can be used in process improvement [11]. The study was conducted using defect data from three software companies consisting of 11653 defects in total.…”

Section: Research Settingmentioning

confidence: 99%

“…In this section we present the general defect distribution scheme applied in our previous study [11]. In addition, we present the functional defect classification by Beizer [9] and our own more precise initial scheme based on it.…”

Section: Functional Defect Classificationmentioning

confidence: 99%

“…The defect distribution scheme applied in our preliminary study [11] is presented in Table 1. The scheme is a combination of the schemes by Beizer [9] and Humphrey [10].…”

Section: General Defect Distribution Schemementioning

confidence: 99%

“…In our preliminary study [11] we applied the general defect classification scheme presented in Table 1 for three software companies defect data consisting of 11653 defects. The result of the defect classification is presented in Figure 1.…”

Section: General Defect Distributionmentioning

confidence: 99%

“…defects in computation and/or functional logic [11]. In order to be able to use the defect data for process improvement purposes the functional defects had to be understood in more detail.…”

Section: Introductionmentioning

confidence: 99%

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Using Functional Defect Analysis as an Input for Software Process Improvement: Initial Results

Toroi

Raninen

Vainio

2012

Communications in Computer and Information Science

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Abstract. In this paper we present how functional defect analysis can be applied for software process improvement (SPI) purposes. Software defect data is shown to be one of the most important available management information sources for SPI decisions. Our preliminary analysis with three software companies' defect data (11653 defects in total) showed that 65% of all the defects are functional defects. To better understand this mass, we have developed a detailed scheme for functional defect classification. Applying our scheme, defects can be classified with accuracy needed to generate practical results. The presented scheme is at initial stages of validation and has been tested with one software company's defect data consisting of 1740 functional defects. Based on the classification we were able to provide the case organization with practical improvement suggestions.

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Section: Research Settingmentioning

confidence: 99%

Section: Functional Defect Classificationmentioning

confidence: 99%

“…The defect distribution scheme applied in our preliminary study [11] is presented in Table 1. The scheme is a combination of the schemes by Beizer [9] and Humphrey [10].…”

Section: General Defect Distribution Schemementioning

confidence: 99%

Section: General Defect Distributionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Using Functional Defect Analysis as an Input for Software Process Improvement: Initial Results

Toroi

Raninen

Vainio

2012

Communications in Computer and Information Science

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Defect analysis in mission-critical software systems: a detailed investigation

Carrozza

Pietrantuono

Russo

2014

J. Softw. Evol. and Proc.

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The practice of defect analysis is recognized as an essential task for software process measurement, yet its\ud effective application in the industrial development of large-scale software systems raises several challenges.\ud We report the results of a study conducted at SELEX ES - a large system integrator leader in the market of\ud software-intensive mission-critical systems. The article describes the defect analysis approach that we tailored to evaluate the software development process with respect to the quality of produced software and\ud its relation with the required effort. Three key phases of the process were addressed, regarding the software\ud implementation, the testing phase and the prerelease defect fixing activity, over a set of six computer software configuration items developed from 2009 to 2012 for the naval and maritime domain product line.\ud The analysis highlighted efficiency bottlenecks in each of the monitored phases, providing company engineers with insights about room for process improvement. The implemented approach, the observed phenomena and the inferred conclusions are of support to practitioners coping with systems, development models and\ud industrial environments similar to the considered one

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A Case Study in Defect Measurement and Root Cause Analysis in a Turkish Software Organization

Atagoren¹,

Chouseinoglou²

2014

Software Engineering Research, Management and Applications

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Defect Data Analysis as Input for Software Process Improvement

Cited by 6 publications

References 5 publications

Using Functional Defect Analysis as an Input for Software Process Improvement: Initial Results

Using Functional Defect Analysis as an Input for Software Process Improvement: Initial Results

Defect analysis in mission-critical software systems: a detailed investigation

A Case Study in Defect Measurement and Root Cause Analysis in a Turkish Software Organization

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