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Dr. Nor Liyana Mohd Shuib
Faculty of Computer Science and
Information Technology, University of
Malaya
SYSTEMATIC LITERATURE
REVIEW IN INFORMATION
TECHNOLOGY
Introduction
What is a systematic literature review
(SLR)?
A systematic literature review is a
means of identifying, evaluating, and
interpreting all accessible research
relevant to a particular research
question, or topic area, or phenomenon
of interest (Kitchenham, 2004).
Introduction
To whom: Students, Academicians and
Researchers
For what?
 To identify gaps in current research
 To keep up to date with the latest research
 To provide a background in order to appropriately
position new research activities.
 To summarize the existing research evidence
concerning a technology (techniques/tools)
Introduction
Different from traditional – non-systematic review
Problem Faced
Time and effort consuming
Require a lot of skills in searching data,
data handling, analysis and interpretation
Lack of domain knowledge
Non-standardized keywords and difficulty
in identifying synonyms
Methods/Protocol
Planning the review
Identification of the
need for a review
Development of a
review protocol.
Conducting the
review
Identification of
research
Selection of primary
studies
Study quality
assessment
Data extraction &
monitoring
Data synthesis.
Reporting the review
Methods/Protocol
Identification
of the need for
a review
Problems are transformed into
answerable questions.
Development
of a review
protocol.
Describes each phase of the
review process.
Selection of
primary
studies
A systematic strategy is used
to search for studies.
Study quality
assessment
The methodological quality of
all studies is appraised before
they are included in the review.
Data
extraction &
monitoring
To collect all the information
needed to address the review
questions and the study quality
criteria
Data synthesis
Results are synthesised by
either a narrative summary,
and where appropriate, using
meta-analysis.
Potential Publication
Published Items in Each
Year
Source:
ISI Web of Science
Potential Publication
Citations in Each Year
Results found: 209
Sum of the
Times Cited : 1180
Sum of Times
Cited without
self-citations : 959
Citing Articles : 915
Citing Articles
without self-
citations : 825
Average
Citations per
Item : 5.65
h-index : 18
Examples Of Paper
 Cloud computing service composition:
A systematic literature review
 Knowledge-based approaches in software
documentation: A systematic literature review
 A systematic literature review of software
requirements prioritization research
References
 Kitchenham, B. (2004). Procedures for
Performing Systematic Reviews. Joint Technical
Report TR/SE-0401.
 Riaz, M., Sulayman, M., Salleh, N. and Mendes,
E.
 Kitchenham et al., (2007). Guidelines for
performing Systematic Literature Reviews in
Software Engineering. Version 2.3 EBSE-2007-
01.(2010) Experiences conducting systematic
reviews from novices' perspective in Proc. of the
Evaluation and Assessment in Software
Engineering (EASE 2010) Keele University, UK,

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Grds conferences icst and icbelsh (10)

  • 1. Dr. Nor Liyana Mohd Shuib Faculty of Computer Science and Information Technology, University of Malaya SYSTEMATIC LITERATURE REVIEW IN INFORMATION TECHNOLOGY
  • 2. Introduction What is a systematic literature review (SLR)? A systematic literature review is a means of identifying, evaluating, and interpreting all accessible research relevant to a particular research question, or topic area, or phenomenon of interest (Kitchenham, 2004).
  • 3. Introduction To whom: Students, Academicians and Researchers For what?  To identify gaps in current research  To keep up to date with the latest research  To provide a background in order to appropriately position new research activities.  To summarize the existing research evidence concerning a technology (techniques/tools)
  • 4. Introduction Different from traditional – non-systematic review
  • 5. Problem Faced Time and effort consuming Require a lot of skills in searching data, data handling, analysis and interpretation Lack of domain knowledge Non-standardized keywords and difficulty in identifying synonyms
  • 6. Methods/Protocol Planning the review Identification of the need for a review Development of a review protocol. Conducting the review Identification of research Selection of primary studies Study quality assessment Data extraction & monitoring Data synthesis. Reporting the review
  • 7. Methods/Protocol Identification of the need for a review Problems are transformed into answerable questions. Development of a review protocol. Describes each phase of the review process. Selection of primary studies A systematic strategy is used to search for studies. Study quality assessment The methodological quality of all studies is appraised before they are included in the review. Data extraction & monitoring To collect all the information needed to address the review questions and the study quality criteria Data synthesis Results are synthesised by either a narrative summary, and where appropriate, using meta-analysis.
  • 8. Potential Publication Published Items in Each Year Source: ISI Web of Science
  • 9. Potential Publication Citations in Each Year Results found: 209 Sum of the Times Cited : 1180 Sum of Times Cited without self-citations : 959 Citing Articles : 915 Citing Articles without self- citations : 825 Average Citations per Item : 5.65 h-index : 18
  • 10. Examples Of Paper  Cloud computing service composition: A systematic literature review  Knowledge-based approaches in software documentation: A systematic literature review  A systematic literature review of software requirements prioritization research
  • 11.
  • 12. References  Kitchenham, B. (2004). Procedures for Performing Systematic Reviews. Joint Technical Report TR/SE-0401.  Riaz, M., Sulayman, M., Salleh, N. and Mendes, E.  Kitchenham et al., (2007). Guidelines for performing Systematic Literature Reviews in Software Engineering. Version 2.3 EBSE-2007- 01.(2010) Experiences conducting systematic reviews from novices' perspective in Proc. of the Evaluation and Assessment in Software Engineering (EASE 2010) Keele University, UK,

Editor's Notes

  1. skill skills in searching data, data handling, analysis and interpretation.