Assessing the quality factors found in in-line documentation written in natural language: The JavadocMiner

Khamis, Ninus; Rilling, Juergen; Witte, René

doi:10.1016/j.datak.2013.02.001

Cited by 6 publications

(2 citation statements)

References 28 publications

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“…Purposeful text mining rests on the same assumption as data mining, that is, looking for valuable patterns, correlations and trends in large data sets with the help of statistical and mathematical techniques; a process too complex and resource demanding for manual processing (Aggarwal and Zhai, 2012; Liu, 2011; Weiss et al , 2012). Hence, text mining is increasingly used in quality and business development with studies ranging from credit and insurance assessments and customer feedback loops to reviews of project, process and failure reports (Moro et al , 2015; Choudhary et al , 2009; Finch, 1999; Heim and Field, 2007; Kent, 2014; Khamis et al , 2013; Köksal et al , 2011; Lo, 2008).…”

Section: Theoretical Frame Of Referencementioning

confidence: 99%

Exploring research on quality and reliability management through text mining methodology

Carnerud

2017

IJQRM

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Purpose-The purpose of this paper is to explore and describe research presented in the International Journal of Quality & Reliability Management (IJQRM), thereby creating an increased understanding of how the areas of research have evolved through the years. An additional purpose is to show how text mining methodology can be used as a tool for exploration and description of research publications. Design/methodology/approach-The study applies text mining methodologies to explore and describe the digital library of IJQRM from 1984 up to 2014. To structure and condense the data, k-means clustering and probabilistic topic modeling with latent Dirichlet allocation is applied. The data set consists of research paper abstracts. Findings-The results support the suggestion of the occurrence of trends, fads and fashion in research publications. Research on quality function deployment (QFD) and reliability management are noted to be on the downturn whereas research on Six Sigma with a focus on lean, innovation, performance and improvement on the rise. Furthermore, the study confirms IJQRM as a scientific journal with quality and reliability management as primary areas of coverage, accompanied by specific topics such as total quality management, service quality, process management, ISO, QFD and Six Sigma. The study also gives an insight into how text mining can be used as a way to efficiently explore and describe large quantities of research paper abstracts. Research limitations/implications-The study focuses on abstracts of research papers, thus topics and categories that could be identified via other journal publications, such as book reviews; general reviews; secondary articles; editorials; guest editorials; awards for excellence (notifications); introductions or summaries from conferences; notes from the publisher; and articles without an abstract, are excluded. Originality/value-There do not seem to be any prior text mining studies that apply cluster modeling and probabilistic topic modeling to research article abstracts in the IJQRM. This study therefore offers a unique perspective on the journal's content.

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Section: Theoretical Frame Of Referencementioning

confidence: 99%

Exploring research on quality and reliability management through text mining methodology

Carnerud

2017

IJQRM

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“…Text mining and data mining share the same purpose: to look for valuable patterns, correlations and trends in large data sets with the help of statistical and mathematical techniques; a process too complex and resource-demanding for manual processing (Aggarwal and Zhai, 2012a, b; Liu, 2011). Not surprisingly, text mining is increasingly used in quality and business development and new areas of application are being continuously developed and tested in theory as well as in practice (Choudhary et al , 2009; Finch, 1999; Heim and Field, 2007; Kent, 2014; Khamis et al , 2013; Köksal et al , 2011; Lo, 2008).…”

Section: Introductionmentioning

confidence: 99%

25 years of quality management research – outlines and trends

Carnerud

2018

IJQRM

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Purpose-The purpose of this paper is to explore and describe how research on quality management (QM) has evolved historically. The study includes the complete digital archive of three academic journals in the field of QM. Thereby, a unique depiction of how the general outlines of the field as well as trends in research topics have evolved through the years is presented. Design/methodology/approach-The study applies cluster and probabilistic topic modeling to unstructured data from The International Journal of Quality & Reliability Management, The TQM Journal and Total Quality Management & Business Excellence. In addition, trend analysis using support vector machine is performed. Findings-The study identifies six central, perpetual themes of QM research: control, costs, reliability and failure; service quality; TQMimplementation and performance; ISOcertification, standards and systems; Innovation, practices and learning and customersresearch and product design. Additionally, historical surges and shifts in research focus are recognized in the study. From these trends, a decrease in interest in TQM and control of quality, costs and processes in favor of service quality, customer satisfaction, Six Sigma, Lean and innovation can be noted during the past decade. The results validate previous findings. Originality/value-Of the identified central themes, innovation, practices and learning appears not to have been documented as a fundamental part of QM research in previous studies. Thus, this theme can be regarded as a new perspective on QM research and thereby on QM.

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