skip to main content
10.1145/2460999.2461025acmotherconferencesArticle/Chapter ViewAbstractPublication PageseaseConference Proceedingsconference-collections
research-article

A tertiary study: experiences of conducting systematic literature reviews in software engineering

Authors Info & Claims
Published:14 April 2013Publication History

ABSTRACT

Context: The use of Systematic Literature Review (SLR) requires expertise and poses many challenges for novice researchers. The experiences of those who have used this research methodology can benefit novice researchers in effectively dealing with these challenges. Objective: The aim of this study is to record the reported experiences of conducting Systematic Literature Reviews, for the benefit of new researchers. Such a review will greatly benefit the researchers wanting to conduct SLR for the very first time. Method: We conducted a tertiary study to gather the experiences published by researchers. Studies that have used the SLR research methodology in software engineering and have implicitly or explicitly reported their experiences are included in this review. Results: Our research has revealed 116 studies relevant to the theme. The data has been extracted by two researchers working independently and conflicts resolved after discussion with third researcher. Findings from these studies highlight Search Strategy, Online Databases, Planning and Data Extraction as the most challenging phases of SLR. Lack of standard terminology in software engineering papers, poor quality of abstracts and problems with search engines are some of the most cited challenges. Conclusion: Further research and guidelines is required to facilitate novice researchers in conducting these phases properly.

References

  1. Babar, M. A., and Zhang, H., 2009, Systematic Literature Reviews in Software Engineering: Preliminary Results from Interviews with Researchers, International Conference on Empirical Software Engineering and Measurement, pp. 346--355. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Bailey, J., Zhang, C., Budgen, D., Charters, S., and Turner, M., 2007, Search Engine Overlaps: Do they Agree or Disagree?, Second International Workshop on Realizing Evidence-Based Software Engineering, p. 2--2. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Beecham, S., Baddoo, N., Hall, T., Robinson, H., and Sharp, H., 2006, Protocol for a Systematic Literature Review of Motivation in Software Engineering,.Google ScholarGoogle Scholar
  4. Brereton, O. P., Kitchenham, B. A., Budgen, D., Turner, M., and Khalil, M., 2007, Lessons from Applying the Systematic Literature Review Process within the Software Engineering Domain, Journal of Systems and Software, vol. 80, no. 4, pp. 571--583. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Cruzes, D. S and Dyba, T., 2011, Recommended Steps for Thematic Synthesis in Software Engineering, International Symposium on Empirical Software Engineering and Measurement, pp. 275--284. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Dieste, O., and Padua, O. A. G., 2007, Developing Search Strategies for Detecting Relevant Experiments for Systematic Reviews, Proceedings of First International Symposium on Empirical Software Engineering and Measurement, pp. 215--224. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Dybå, T., and Dingsøyr, T., 2008, Strength of Evidence in Systematic Reviews in Software Engineering, Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement, pp. 178--187. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Dyba, T., Dingsoyr, T., Hanssen, G. K., and SINTEF, T., 2007, Applying Systematic Reviews to Diverse Study Types: An Experience Report, First International Symposium on Empirical Software Engineering and Measurement, 2007. pp. 225--234. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Kitchenham, B., Brereton, O. P., Budgen, D., Turner, M., Bailey, J., and Linkman, S., 2009, Systematic Literature Reviews in Software Engineering-A Systematic Literature Review, Information and Software Technology, vol. 51, no. 1, pp. 7--15. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Kitchenham, B. A., Budgen, D. and Brereton, O. P., 2006, Evidence-based Software Engineering and Systematic Literature Reviews, Product-Focused Software Process Improvement, p. 3--3, DOI=10.1007/11767718_3. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Kitchenham, B., and Charters, S., 2007, Guidelines for performing Systematic Literature Reviews in Software Engineering', Technical Report EBSE 2007--001, Keele University and Durham University Joint Report.Google ScholarGoogle Scholar
  12. Kitchenham, B. A., Dyba, T., and Jorgensen, M., 2004, Evidence-Based Software Engineering, Proceedings of 26th International Conference on Software Engineering, pp. 273--281. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Kitchenham, B., Pretorius, R., Budgen, D., Brereton, O. P., Turner, M., Niazi, M., and Linkman, S., 2010, Systematic Literature Reviews in Software Engineering--A Tertiary Study, Information and Software Technology, vol. 52, no. 8, pp. 792--805. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Riaz, M., Sulayman, M., Salleh, N., and Mendes, E., 2010, Experiences Conducting Systematic Reviews from Novices' Perspective, Proceedings of 14th International Conference on Evaluation and Assessment in Software Engineering (EASE). Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Staples, M. and Niazi, M., 2007, Experiences using systematic review guidelines, Journal of Systems and Software, vol. 80, no. 9, pp. 1425--1437. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Silva, F. Q. B., Santos, A. L. M., Soares, S., França, A. C. C., Monteiro, C. V. F., and Maciel, F. F., 2011, Six years of Systematic Literature Reviews in Software Engineering: An Updated Tertiary Study, Information and Software Technology, vol. 53, no. 9, pp. 899--913. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. MacDonell, S., Shepperd, M., Kitchenham B. A., and Mendes, E., How reliable are systematic reviews in empirical software engineering?, IEEE Transactions on Software Engineering, 2010, vol. 30, no. 5, pp. 676--687. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. A tertiary study: experiences of conducting systematic literature reviews in software engineering

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Other conferences
        EASE '13: Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering
        April 2013
        268 pages
        ISBN:9781450318488
        DOI:10.1145/2460999

        Copyright © 2013 ACM

        Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 14 April 2013

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        EASE '13 Paper Acceptance Rate31of94submissions,33%Overall Acceptance Rate71of232submissions,31%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader