Lessons from applying the systematic literature review process within the software engineering domain
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TLDR
In this article, the authors report experiences with applying one such approach, the practice of systematic literature review, to the published studies relevant to topics within the software engineering domain, and some lessons about the applicability of this practice to software engineering are extracted.About:
This article is published in Journal of Systems and Software.The article was published on 2007-04-01 and is currently open access. It has received 1866 citations till now. The article focuses on the topics: Software Engineering Process Group & Software peer review.read more
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Journal ArticleDOI
Systematic literature reviews in software engineering - A systematic literature review
Barbara Kitchenham,O. Pearl Brereton,David Budgen,Mark Turner,John W. Bailey,Stephen Linkman +5 more
TL;DR: The series of cost estimation SLRs demonstrate the potential value of EBSE for synthesising evidence and making it available to practitioners and European researchers appear to be the leading exponents of systematic literature reviews.
Book
Experimentation in Software Engineering
TL;DR: The purpose of Experimentation in Software Engineering is to introduce students, teachers, researchers, and practitioners to empirical studies in software engineering, using controlled experiments, and provides indispensable information regarding empirical Studies in particular for experiments, but also for case studies, systematic literature reviews, and surveys.
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Guidelines for conducting systematic mapping studies in software engineering : An update
TL;DR: There was a need to provide an update of how to conduct systematic mapping studies and how the guidelines should be updated based on the lessons learned from the existing systematic maps and SLR guidelines.
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A Guide to Conducting a Systematic Literature Review of Information Systems Research
Chitu Okoli,Kira Schabram +1 more
TL;DR: This article presents a methodology for conducting a systematic literature review with many examples from IS research and references to guides with further helpful details, and provides detailed guidelines to writing a high-quality theory-mining review.
Journal ArticleDOI
Guidance on Conducting a Systematic Literature Review
Yu Xiao,Maria Watson +1 more
TL;DR: In this paper, a systematic search on the methodology of literature review is conducted, and a typology of literature reviews is proposed to enhance rigor in literature reviews in planning education and research.
References
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Perceived Usefulness, Perceived Ease of Use, and User
TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.
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Perceived usefulness, perceived ease of use, and user acceptance of information technology
TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.
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User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
TL;DR: In this article, the authors address the ability to predict peoples' computer acceptance from a measure of their intentions, and explain their intentions in terms of their attitudes, subjective norms, perceived usefulness, perceived ease of use, and related variables.
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A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
TL;DR: In this paper, the authors developed and tested a theoretical extension of the TAM model that explains perceived usefulness and usage intentions in terms of social influence and cognitive instrumental processes, which was tested using longitudinal data collected regarding four different systems at four organizations (N = 156), two involving voluntary usage and two involving mandatory usage.
Book
Practical Meta-Analysis
Mark W. Lipsey,David B. Wilson +1 more
TL;DR: This paper presents a meta-analysis procedure called “Meta-Analysis Interpretation for Meta-Analysis Selecting, Computing and Coding the Effect Size Statistic and its applications to Data Management Analysis Issues and Strategies.