Study of a Customer Satisfaction-Oriented Model for Outsourcing Software Quality Management Using Quality Function Deployment (QFD)

Xiong, Wei; Wang, Xiao-Tun; Wu, Zhixin

doi:10.1109/wicom.2008.1868

Cited by 8 publications

(3 citation statements)

References 7 publications

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“…Xiong et al [71] proposed a model named as Outsourcing Software Quality Management (OSQMM) that takes into account customer satisfaction by analyzing the voice of customers. Issues with the development of outsourcing software and current models assuring quality were analyzed for applying Quality Function Deployment (QFD).…”

Section: Loh and Leementioning

confidence: 99%

Analysis and Assessment of Existing Software Quality Models to Predict the Reliability of Component-Based Software

Yadav¹

2020

IJETER

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Software engineering is an approach pre-owned by the researchers and innovators to reduce the ratio of crisis in software. Therefore the designer/ innovator can readily design a valuable quality software, by using various approaches like Component-Based Software Engineering (CBSE). The components quality has a high impact on the quality of a whole application. Several quality models for CBSE and Component-Off-The-Shelf (COTS) are available in the literature so this paper presents various quality models with defined parameters for quality prediction. Several models, like, Boehm's, McCall's, FURPS, ISO 9126, Dromey's, have been developed for quality evaluation using hierarchically related characteristics of quality indicators. Over the years, some models have been developed for structuring software quality for software. Nowadays, researchers are showing their passion for innovation in the area of software reliability. The reliability of a software component relies on the following factors like the reliability of services, environment frequency so finally this paper presents the analysis and assessment of software quality models and their quality parameters for CBS by going through various researchers and practitioners' work.

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Section: Loh and Leementioning

confidence: 99%

Analysis and Assessment of Existing Software Quality Models to Predict the Reliability of Component-Based Software

Yadav¹

2020

IJETER

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“…The outsourcing can also be called offshoring, when the outsourcing of services is made with organizations in other countries (Click & Duening, 2005). One of the most usual in the process of offshore outsourcing is the development of software (Beulen et al, 2005;Xiong et al, 2008), being a process used around the world.…”

Section: Introductionmentioning

confidence: 99%

Information Systems Outsourcing in Large Companies

Colomo‐Palacios

Leeney

Varajão

et al. 2011

International Journal of Information Technology Project Management

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Information systems outsourcing is an indispensable tool in the management of information systems. The set of services contracted to outside suppliers, originally more limited to services of an operational nature, has expanded over the past two decades, and today there is a wide range of services subject to outsourcing. Among them are: the hiring of software development; maintenance of applications; services and communications networks; security of information systems; and many others. Depending on the nature of the services contracted and on the range that the contracting of services has on departments of information systems, the issues involved in project management vary considerably. This article presents the results of a survey conducted among large companies in the Republic of Ireland to characterize, among other things, the range of services that are most often outsourced. The results are relevant in the sense that not only do they enable a better understanding of the reality of information systems departments of large Irish companies, but also enable the management to focus attention on specific services.

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“…The most immediate impact is that the patch for the defect must be deployed to not just the production and development environments, but also to the customers which are using the software. Another cost which can be more far reaching is the impact of the defects on customer satisfaction and assurance [68].…”

Section: Software Defect Predictionmentioning

confidence: 99%

The effect of locality based learning on software defect prediction

Lemon¹

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The Effect of Locality Based Learning on Software Defect Prediction Bryan Lemon Software defect prediction poses many problems during classification. A common solution used to improve software defect prediction is to train on similar, or local, data to the testing data. Prior work [12, 64] shows that locality improves the performance of classifiers. This approach has been commonly applied to the field of software defect prediction. In this thesis, we compare the performance of many classifiers, both locality based and non-locality based. We propose a novel classifier called Clump, with the goals of improving classification while providing an explanation as to how the decisions were reached. We also explore the effects of standard clustering and relevancy filtering algorithms. Through experimentation, we show that locality does not improve classification performance when applied to software defect prediction. The performance of the algorithms is impacted more by the datasets used than by the algorithmic choices made. More research is needed to explore locality based learning and the impact of the datasets chosen. I would like to thank Dr. Menzies for introducing me to Data Mining, it was this initial class that set the direction for my education at West Virginia University. You introduced me to the world of research. You taught me the difference between creating something new and doing research. The classes I took from you went beyond teaching the subject matter; you taught not just the "How?", but the "Why?". It was a privilege to be one of your students and one of your research assistants. You not only taught me many things, but you changed how I look at Computer Science. I am thankful to the Lane Department of Computer Science and Electrical Engineering, West Virginia University, and the professors for the education I have received. The skills I have learned here will help me as I further my education, and beyond into the work force. I would like to thank Dr. VanScoy for the classes I took from her. Each lecture was not just informative, but entertaining. Like all the professors I have had the privilege to take courses from here at WVU, the professor did not just "end" at the door to the classroom. I would like to thank my mother for the kind, loving support she has give me throughout my education. She provided the foundation that my entire education is based on. Without her, I would not be where I am today.

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Study of a Customer Satisfaction-Oriented Model for Outsourcing Software Quality Management Using Quality Function Deployment (QFD)

Cited by 8 publications

References 7 publications

Analysis and Assessment of Existing Software Quality Models to Predict the Reliability of Component-Based Software

Analysis and Assessment of Existing Software Quality Models to Predict the Reliability of Component-Based Software

Information Systems Outsourcing in Large Companies

The effect of locality based learning on software defect prediction

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