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Title:
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A SYSTEMATIC TOOL COMPARISON FOR THE SUPPORT OF EMPIRICAL SOFTWARE ENGINEERING RESEARCH |
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Author(s):
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Yulkeidi Martínez Espinosa , Cristina Cachero Castro |
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ISBN:
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978-972-8924-57-7 |
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Editors:
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Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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Systematic Reviews, Online Surveys, Survey Tools, Empirical Research |
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Type:
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Full Paper |
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First Page:
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210 |
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Last Page:
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217 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Empirical validation activities are gaining momentum in the context of Software Engineering, due to the increasing
maturity of the field. Among them, activities involving surveys of any kind are especially relevant. Surveys are the most
popular empirical instrument to validate assumptions and extract information from users/consumers, due to the relative
simplicity of its design. With the advent of Internet, its even more increased cost-effectivness has spread its use..
However, attempts to empirically validate Software Engineering assumptions with the aid of surveys are hampered in
many cases by inadequate tools, which are usually either too expensive, too inflexible or provide too little guidance to be
of use for researchers and practitioners alike. The objective of this work is therefore twofold. On one hand we have
adapted the ISO 14102 to provide a tailored quality model for the objective evaluation of survey-support tools. Our
Survey Tool Quality Model aims at helping the researcher/practitioner to choose the tool that best fits his goals among
the myriad of web-based survey-support tools available in the market. On the other hand, and based on this Survey Tool
Quality Model, we have performed a systematic selection and comparison of existing tools. We believe that this tool
comparison provides valuable data to detect gaps in the requirements coverage of existing survey tools, gaps that should
be covered in future survey tool developments if they are to be able to assist in the design and execution of SE empirical
validation processes with a certain degree of reliability. |
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