scholarly journals On Assuring Software Quality and Curbing Software Development Cost.

2006 ◽  
Vol 5 (6) ◽  
pp. 35 ◽  
Author(s):  
Won Kim
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anusha R. Pai ◽  
Gopalkrishna Joshi ◽  
Suraj Rane

PurposeThis paper is focused at studying the current state of research involving the four dimensions of defect management strategy, i.e. software defect analysis, software quality, software reliability and software development cost/effort.Design/methodology/approachThe methodology developed by Kitchenham (2007) is followed in planning, conducting and reporting of the systematic review. Out of 625 research papers, nearly 100 primary studies related to our research domain are considered. The study attempted to find the various techniques, metrics, data sets and performance validation measures used by researchers.FindingsThe study revealed the need for integrating the four dimensions of defect management and studying its effect on software performance. This integrated approach can lead to optimal use of resources in software development process.Research limitations/implicationsThere are many dimensions in defect management studies. The authors have considered only vital few based on the practical experiences of software engineers. Most of the research work cited in this review used public data repositories to validate their methodology and there is a need to apply these research methods on real datasets from industry to realize the actual potential of these techniques.Originality/valueThe authors believe that this paper provides a comprehensive insight into the various aspects of state-of-the-art research in software defect management. The authors feel that this is the only research article that delves into the four facets namely software defect analysis, software quality, software reliability and software development cost/effort.


2012 ◽  
Vol 32 ◽  
pp. 285-291 ◽  
Author(s):  
Ricardo de A. Araújo ◽  
Adriano L.I. Oliveira ◽  
Sergio Soares ◽  
Silvio Meira

2008 ◽  
Vol 81 (11) ◽  
pp. 1853-1867 ◽  
Author(s):  
K. Vinay Kumar ◽  
V. Ravi ◽  
Mahil Carr ◽  
N. Raj Kiran

Author(s):  
George Leal Jamil ◽  
Rodrigo Almeida de Oliveira

This chapter proposes the application of computer simulation models for the evaluation of software quality improvement through the implementation of policies and practices of software development processes and performing the measurement of the evolution of the quality through the Six Sigma methodology. In order to provide decision makers of process improvement, a model of dynamic simulation of systems was proposed. Model validation was performed using data collected from various projects developed in an information technology company headquartered in Belo Horizonte-MG. The models mentioned in this chapter are able to provide the decision makers a tooling of process improvement able to perform predictions, predictions, analysis of “what if” scenarios in the model. As a result of this work, a dynamic simulation model of systems capable of performing the evaluation of software quality in Sigma level is found. Also, there are comparisons and analyses of actual data of software development projects with the simulation data of the models presented. The earnings with the new version of the case exceed by more than 50% the Sigma level, the quality of software developed, and reduction of more than 55% of the time of development of the project.


Author(s):  
Mirna Muñoz

Software has become the core of organizations in different domains because the capacity of their products, systems, and services have an increasing dependence on software. This fact highlights the research challenges to be covered by computer science, especially in the software engineering (SE) area. On the one way, SE is in charge of covering all the aspects related to the software development process from the early stages of software development until its maintenance and therefore is closely related to the software quality. On the other hand, SE is in charge of providing engineers able to provide technological-base solutions to solve industrial problems. This chapter provides a research work path focused on helping software development organizations to change to a continuous software improvement culture impacting both their software development process highlighting the human factor training needs. Results show that the implementation of best practices could be easily implemented if adequate support is provided.


Author(s):  
Sabrina Ahmad ◽  
Noor Azilah Muda ◽  
Azah Kamilah Muda ◽  
Zahriah Othman

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