Applying Systematic Reviews to Diverse Study Types: An Experience Report

Li, Jingzhou; Al‐Emran, Ahmed; Ruhe, Günther

doi:10.1109/esem.2007.59

Cited by 285 publications

(246 citation statements)

References 18 publications

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“…In order to achieve a rigorous literature study, we based our method of conducting this literature mapping and review on the systematic literature review methods described in (Dybå, Dingsøyr, & Hanssen, 2007;Kitchenham & Charters, 2007;Petersen, 2011). Mapping and review studies have different purposes.…”

Section: Methodsmentioning

confidence: 99%

“…The underlying reason for the mapping questions was to determine how research has been performed in ODCM, the kind of research that has been performed and how ODCM has evolved over the years. Based upon these mapping questions, we then formulated a search strategy based on the different phases from (Dybå et al, 2007) to collect our initial set of papers. The first phase defines a search string to search relevant databases and proceedings for articles related to the classification questions.…”

Section: Methodsmentioning

confidence: 99%

“…Also, one of the authors of this SLR was also a co-author of the CMQF framework, increasing the correct application of the framework in the review study. Although data extraction and classification from prose is difficult at the outset, we believe that the extraction and selection process was rigorous and that we followed the guidelines as provided in (Kitchenham & Charters, 2007), (Petersen, 2011) and (Dybå et al, 2007).…”

Section: Threats To Validitymentioning

confidence: 99%

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Ontology-driven conceptual modeling: A systematic literature mapping and review

Verdonck

Gailly

Cesare

et al. 2015

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Abstract. Ontology-driven conceptual modeling (ODCM) is still a relatively new research domain in the field of information systems and there is still much discussion on how the research in ODCM should be performed and what the focus of this research should be. Therefore, this article aims to critically survey the existing literature in order to assess the kind of research that has been performed over the years, analyze the nature of the research contributions and establish its current state of the art by positioning, evaluating and interpreting relevant research to date that is related to ODCM. To understand and identify any gaps and research opportunities, our literature study is composed of both a systematic mapping study and a systematic review study. The mapping study aims at structuring and classifying the area that is being investigated in order to give a general overview of the research that has been performed in the field. A review study on the other hand is a more thorough and rigorous inquiry and provides recommendations based on the strength of the found evidence. Our results indicate that there are several research gaps that should be addressed and we further composed several research opportunities that are possible areas for future research. IntroductionConceptual models were introduced to increase understanding and communication of a system or domain among stakeholders. According to Stachowiak (1973), a conceptual model possesses three features: (1) a mapping feature, meaning that a model can be seen as a representation of the 'original' system, which is expressed through a modeling language; (2) a reduction feature, characterizing the model as only a subset of the original system and (3) the pragmatics of a model which describes its intended purpose or objective.Conceptual modeling is the activity of representing aspects of the physical and social world for the purpose of communication, learning and problem solving among human users (Mylopoulos, 1992). Conceptual modeling has gained much attention especially in the field of information systems, for design, analysis and development purposes. Their importance was understood in the 1960s, since they facilitate detection and correction of system development errors (Wand & Weber, 2002). The higher the quality of conceptual models, the earlier the 2 detection and correction of these errors occurs. This increase in attention and importance attributed to conceptual modeling led to the development and introduction of a wide range of various conceptual modeling approaches and techniques. Criticism however arose, stating that these approaches and techniques still lacked a comprehensive and generally acknowledged understanding (Moody, 2005). In addition, many conceptual models lacked an adequate specification of the semantics of the terminology of the underlying models, which led to inconsistent interpretations and uses of knowledge (Grüninger, Atefi, & Fox, 2000). In order to provide a foundation for conceptual modeling, ontologies were introduced. As mentio...

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Threats To Validitymentioning

confidence: 99%

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Ontology-driven conceptual modeling: A systematic literature mapping and review

Verdonck

Gailly

Cesare

et al. 2015

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show abstract

“…We followed a formal systematic literature review process for this study based on the guidelines proposed in [16,33]. A systematic literature review is an evidence-based approach to thoroughly search studies relevant to some pre-defined research questions and critically select, appraise, and synthesize findings 7 Simple Knowledge Organization System: http://www.w3.org/2004/ 02/skos/ 8 http://dublincore.org/ for answering the research questions at hand.…”

Section: Methodsmentioning

confidence: 99%

User interfaces for semantic authoring of textual content: A systematic literature review

Khalili

Auer

2013

Journal of Web Semantics

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“…Due to the necessarily comprehensive and rigorous nature of an SLR, exhaustive searches for relevant primary studies are required. However, recent studies have shown that these represent an especially difficult activity part of an SLR process [3,4]. Moreover, the selection of primary studies is also arduous when faced with large volumes of candidate primary studies.…”

Section: Introductionmentioning

confidence: 99%