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abstract

Challenges and pitfalls on surveying evidence in the software engineering technical literature: an exploratory study with novices

Published:27 May 2018Publication History

ABSTRACT

The evidence-based software engineering approach advocates the use of scientific evidence by software engineers to support the adoption of software technologies in industrial software development and maintenance projects. Aside from the unavailability of scientific knowledge in industrial settings and the time required to acquire evidence in the software engineering (SE) field, additional challenges prevent practitioners, mainly those that are not experienced in research, from collecting knowledge from scientific sources to support the decisionmaking throughout their software projects.

References

  1. Talita V. Ribeiro, Jobson Massollar and Guilherme H. Travassos. 2017. Challenges and pitfalls on surveying evidence in the software engineering technical literature: an exploratory study with novices. Empirical Software Engineering, 1--70. Available at: http://rdcu.be/xNku Google ScholarGoogle ScholarDigital LibraryDigital Library

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            • Published in

              cover image ACM Conferences
              ICSE '18: Proceedings of the 40th International Conference on Software Engineering
              May 2018
              1307 pages
              ISBN:9781450356381
              DOI:10.1145/3180155
              • Conference Chair:
              • Michel Chaudron,
              • General Chair:
              • Ivica Crnkovic,
              • Program Chairs:
              • Marsha Chechik,
              • Mark Harman

              Copyright © 2018 Owner/Author

              Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 27 May 2018

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              Overall Acceptance Rate276of1,856submissions,15%

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