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Innovations in Computing Sciences and Software Engineering pp 307–312Cite as

An Approach to Measuring Software Quality Perception

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Abstract

Perception measuring and perception management is an emerging approach in the area of product management. Cognitive, psychological, behavioral and neurological theories, tools and methods are being employed for a better understanding of the mechanisms of a consumer’s attitude and decision processes. Software is also being defined as a product, however this kind of product is significantly different from all other products. Software products are intangible and it is difficult to trace their characteristics which are strongly dependant on a dynamic context of use.

Understanding customer’s cognitive processes gives an advantage to the producers aiming to develop products “winning the market”. Is it possible to adopt theories, methods and tools for the purpose of software perception, especially software quality perception? The theoretical answer to this question seems to be easy, however in practice the list of differences between software products and software projects hinders the analysis of certain factors and their influence on the overall perception.

In this article the authors propose a method and describe a tool designed for the purpose of research regarding perception issues of software quality. The tool is designed to defeat the above stated problem, adopting the modern behavioral economics approach.

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Author information

Authors and Affiliations

  1. Department of Information Systems, EUR ING, Sygnity Research, Warsaw, Poland

    Radoslaw Hofman PhD

Authors
  1. Radoslaw Hofman PhD
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Correspondence to Radoslaw Hofman PhD .

Editor information

Editors and Affiliations

  1. School of Engineering, University of Bridgeport, University Avenue 221, Bridgeport, 06604, USA

    Tarek Sobh

  2. School of Engineering, University of Bridgeport, University Avenue 221, Bridgeport, 06604, USA

    Khaled Elleithy

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Hofman, R. (2010). An Approach to Measuring Software Quality Perception. In: Sobh, T., Elleithy, K. (eds) Innovations in Computing Sciences and Software Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9112-3_52

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  • DOI: https://doi.org/10.1007/978-90-481-9112-3_52

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-9111-6

  • Online ISBN: 978-90-481-9112-3

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