Citations, research topics and active countries in software engineering: A bibliometrics study

Garousi, Vahid; Mäntylä, Martti

doi:10.1016/j.cosrev.2015.12.002

Cited by 97 publications

(139 citation statements)

References 58 publications

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“…We can see that, prior to 2005, fewer than eight papers were published per year, while between 2005 and 2015, an average of 24 papers were published per year. This trend is similar to that observed in a bibliometric study (Garousi and Mäntylä 2016) of the entire software engineering literature, which analyzed over 70,000 papers also using data from Scopus. In that study, prior to 2005, less than 2,000 papers had been published annually and after 2005, the annual number of paper was over 3,000.…”

Section: Results: Bibliometricssupporting

confidence: 65%

Guest editorial for special section on success and failure in software engineering

et al. 2017

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Many papers investigate success and failure of software projects from diverse perspectives, leading to a myriad of antecedents, causes, correlates, factors and predictors of success and failure. This body of research has not yet produced a solid, empirically grounded body of evidence enabling actionable practices for increasing success and avoiding failure in software projects. The need for more evidence motivates this special issue, which includes four articles that contribute to our understanding of how software project success and failure relate to topics such as: requirements engineering, user satisfaction, start-up pivots and retrospective discussions. We moreover present a brief systematic review to both situate the accepted articles in existing literature and to explore enduring methodological and conceptual challenges in this area, including developing sound instruments for measuring success, representative sampling without population lists and creating both empirically sound and practically actionable taxonomies of success antecedents.

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Section: Results: Bibliometricssupporting

confidence: 65%

Guest editorial for special section on success and failure in software engineering

et al. 2017

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“…However, based on our recent experience in conducting a few bibliometric studies in SE, e.g., [7,8,9, 10], we used a heuristic-based keyword to search for and get coarse statistics on the number of technical papers in the scope of IACs from the Scopus database, as shown in Figure 1. As discussed above, we acknowledge that this simplistic heuristic-based approach is not the best way to precisely count the annual rate of papers on industrial case studies and IAC in SE, but it is a quick and rough approach to get some coarse statistics.…”

Section: Context and Related Workmentioning

confidence: 99%

“…As discussed above, we acknowledge that this simplistic heuristic-based approach is not the best way to precisely count the annual rate of papers on industrial case studies and IAC in SE, but it is a quick and rough approach to get some coarse statistics. Based on experience in our recent bibliometric studies in SE, e.g., [7,8,9, 10], we searched for the word "software" in "source titles" (venues) and the phrase "industrial case" in title, abstract and keywords of papers. Given the above search query, the Scopus database returned 1577 records, which after we randomly analyzed, were a rough acceptable set of industrial case studies and IAC in SE.…”

Section: Context and Related Workmentioning

confidence: 99%

Challenges and best practices in industry-academia collaborations in software engineering: A systematic literature review

Garousi

Petersen

Özkan

2016

Information and Software Technology

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“…Bugüne değin birçok akademik çalışma alanında bibliyometrik çalışma yapılmış olmasına karşın (ör:(D. Chen, Liu, Luo, Webber, & Chen, 2016;H.-Q. Chen et al, 2016;Durmuşoğlu, 2016;Garousi & Mäntylä, 2016;Merigó, MasTur, Roig-Tierno, & Ribeiro-Soriano, 2015)); VM alanında bu tip çalışmaların oldukça kısıtlı olduğu bilinmektedir. VM alanında benzer bir çalışma, 2013 yılı öncesindeki 5 yılda yayınlanmış olan 11.577 makalenin incelenmesiyle gerçekleştirilmiştir (Durmuşoğlu & Dereli, 2013).…”

Section: Bđblđometrđk Analđzunclassified

Veri̇ Madenci̇li̇ği̇ Çalişmalari Üzeri̇ne Bi̇r Anali̇z: Türki̇ye Adresli̇ Yayinlar

Durmuşoğlu¹

2017

Elektronik Sosyal Bilimler Dergisi

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Alptekin DURMUŞOĞLU 1 ÖzVeri Madenciliği (VM); ham ve yığınlar halinde olan veri setlerinde, doğrudan tespit edilemeyen, gizli ve anlamlı bilgilerin keşfedilmesine yönelik olarak bir dizi yöntemin kullanıldığı bir araştırma alanıdır. Son yıllarda, veri depolama ve veri toplama teknolojilerindeki ucuzlamaya paralel olarak artan veri miktarıyla VM uygulamaları tüm dünyada giderek yaygınlaşmıştır. Uygulamadaki sayıca artış, konuyla alakalı bilimsel yazındaki makalelerin de sayıca artışını beraberinde getirmiştir. Bahsi geçen yayınların, bilimsel alandaki genel gidişatını belirlemek, gerek araştırmacılar gerekse uygulayıcılar için çok çeşitli faydalar sağlayacaktır. Bu doğrultuda; bu çalışmada, son on yılda indeksli dergilerde (Science Citation Index-SCI, Science Citation Indexexpanded, Social Sciences Citation Index-SSCI ve Arts and Humanities Citation Index-AHCI) ve konferanslarda yayınlanan (Conference Proceedings Citation Index) VM çalışmaları ele alınmakta, bu çalışmaların; ülke, yazar, yöntem vb. dağılımları ortaya konmaktadır. Ayrıca Türkiye adresli VM çalışmaları da ayrı bir başlık altında ele alınmış ve bu çalışmaların nitelik ve nicelikleri irdelenmiştir. Anahtar kelimeler: Veri Madenciliği, bibliyometrik analiz, Türk araştırmacılar AbstractData Mining (DM) is a research field where a sequence of methods are applied to discover hidden and significant knowledge that cannot be directly detected inside bulk and raw data sets. In the recent years with the increasing amount of data in parallel to the advances in data storage and collection technologies, DM applications have become widespread. Increase in the number of applications has entailed the increase in the number of scientific publications. Determining the general state of affairs can provide several benefits both for the implementers and the researchers. In this direction, the DM studies published in indexed journals (Science Citation Index-SCI, Science Citation Index-expanded, Social Sciences Citation Index-SSCI ve Arts and Humanities Citation Index-AHCI) and conferences (Conference Proceedings Citation Index) on the last ten years has been covered and the country, author , method etc. distribution of those studies has been put forward. In addition to that, the DM studies addressing Turkey has been handled under a separate title and qualifications and quantifications have been examined.

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Citations, research topics and active countries in software engineering: A bibliometrics study

Cited by 97 publications

References 58 publications

Guest editorial for special section on success and failure in software engineering

Guest editorial for special section on success and failure in software engineering

Challenges and best practices in industry-academia collaborations in software engineering: A systematic literature review

Veri̇ Madenci̇li̇ği̇ Çalişmalari Üzeri̇ne Bi̇r Anali̇z: Türki̇ye Adresli̇ Yayinlar

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