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  1. Proceedings of the 2nd International Workshop on Conducting Empirical Studies in Industry (CESI 2014)
  2. Empirical evaluation of software testing techniques in an open source fashion
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A career spent wading through industry's empirical ooze (invited talk)
Is the glass half empty or half full? conducting empirical studies in industry (invited talk)
Exploring web advertising to attract industry professionals for software engineering surveys
Lessons learned on applying design science for bridging the collaboration gap between industry and academia in empirical software engineering
Practical experiences in designing and conducting empirical studies in industry-academia collaboration
Empirical evaluation of software testing techniques in an open source fashion
Topic selection in industry experiments
On the relationship between quality assurance and productivity in software companies
An exploratory study on improving automotive function specifications

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Empirical evaluation of software testing techniques in an open source fashion

Content Provider ACM Digital Library
Author Quadri, SMK Farooq, Sheikh Umar
Abstract Testing technique selection and evaluation remains a key issue in software testing. Industry practitioners need concrete evidence to select proper testing techniques in STLC. Despite the large number of empirical studies which attempt to study the testing techniques’ applicability conditions and allied factors, we are still without realistic and generalized results as studies lack a formal foundation and are not complete in all respects. Additionally, besides varying significantly in terms of parameters they have taken into consideration, many existing studies show contradictory results. Even though the researchers stress on replication of these studies under a common set of guidelines, however, attempts to aggregate results from such replications still has not been fruitful so far. As such, to bridge the gap between researchers and industry professionals, we propose to carry out evaluation of testing techniques on a large scale under a unified framework in an open-source fashion so that the realistic and generalized results are obtained in a shorter span of time. .
Starting Page 21
Ending Page 24
Page Count 4
File Format PDF
ISBN 9781450328432
DOI 10.1145/2593690.2593693
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2014-06-02
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Aggregation Comparison of testing techniques Evaluation Empirical studies Experimentation Replication Open source
Content Type Text
Resource Type Article
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