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Performing and Analyzing Non-Formal Inspections of Entity Relationship Diagram (Erd)

dc.contributor.author Tokdemir, Gul
dc.contributor.author Kilic, Ozkan
dc.contributor.author Topalli, Damla
dc.contributor.author Cagiltay, Nergiz Ercil
dc.contributor.authorID 17411 tr_TR
dc.contributor.other 06.01. Bilgisayar Mühendisliği
dc.contributor.other 06.09. Yazılım Mühendisliği
dc.contributor.other 06. Mühendislik Fakültesi
dc.contributor.other 01. Çankaya Üniversitesi
dc.date.accessioned 2020-06-02T07:01:03Z
dc.date.accessioned 2025-09-18T14:10:45Z
dc.date.available 2020-06-02T07:01:03Z
dc.date.available 2025-09-18T14:10:45Z
dc.date.issued 2013
dc.description Cagiltay, Nergiz Ercil/0000-0003-0875-9276 en_US
dc.description.abstract Designing and understanding of diagrammatic representations is a critical issue for the success of software projects because diagrams in this field provide a collection of related information with various perceptual signs and they help software engineers to understand operational systems at different levels of information system development process. Entity relationship diagram (ERD) is one of the main diagrammatic representations of a conceptual data model that reflects users' data requirements in a database system. In today's business environment, the business model is in a constant change which creates highly dynamic data requirements which also requires additional processes like modifications of ERD. However, in the literature there are not many measures to better understand the behaviors of software engineers during designing and understanding these representations. Hence, the main motivation of this study is to develop measures to better understand performance of software engineers during their understanding process of ERD. Accordingly, this study proposes two measures for ERD defect detection process. The defect detection difficulty level (DF) measures how difficult a defect to be detected according to the other defects for a group of software engineers. Defect detection performance (PP) measure is also proposed to understand the performance of a software engineer during the defect detection process. The results of this study are validated through the eye tracker data collected during the defect detection process of participants. Additionally, a relationship between the defect detection performance (PP) of a software engineer and his/her search patterns within an ERD is analyzed. Second experiment with five participants is also conducted to show the correlation between the proposed metric results and eye tracker data. The results of experiment-2 also found to be similar for DF and PP values. The results of this study are expected to provide insights to the researchers, software companies, and to the educators to improve ERD reasoning process. Through these measures several design guidelines can be developed for better graphical representations and modeling of the information which would improve quality of these diagrams. Moreover, some reviewing instructions can be developed for the software engineers to improve their reviewing process in ERD. These guidelines in turn will provide some tools for the educators to improve design and review skills of future software engineers. (c) 2013 Elsevier Inc. All rights reserved. en_US
dc.description.publishedMonth 8
dc.identifier.citation Cagiltay, Nergiz Ercil; Tokdemir, Gul; Kılıç, Ozkan, "Performing and analyzing non-formal inspections of entity relationship diagram (ERD)" Journal Of Systems And Software, Vol.86, No.8, pp.2184-2195, (2013). en_US
dc.identifier.doi 10.1016/j.jss.2013.03.106
dc.identifier.issn 0164-1212
dc.identifier.issn 1873-1228
dc.identifier.scopus 2-s2.0-84880146772
dc.identifier.uri https://doi.org/10.1016/j.jss.2013.03.106
dc.identifier.uri https://hdl.handle.net/20.500.12416/13782
dc.language.iso en en_US
dc.publisher Elsevier Science inc en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Defect Detection en_US
dc.subject Erd en_US
dc.subject Eye Tracking en_US
dc.title Performing and Analyzing Non-Formal Inspections of Entity Relationship Diagram (Erd) en_US
dc.title Performing and analyzing non-formal inspections of entity relationship diagram (ERD) tr_TR
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Cagiltay, Nergiz Ercil/0000-0003-0875-9276
gdc.author.institutional Tokdemir, Gül
gdc.author.institutional Çağıltay, Nergiz
gdc.author.scopusid 16237826800
gdc.author.scopusid 24333488200
gdc.author.scopusid 57214011731
gdc.author.scopusid 55698308700
gdc.author.wosid Topallı, Damla/Msv-8256-2025
gdc.author.wosid Cagiltay, Nergiz/O-3082-2019
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Cagiltay, Nergiz Ercil] Atilim Univ, Software Engn Dept, Ankara, Turkey; [Tokdemir, Gul] Cankaya Univ, Dept Comp Engn, Ankara, Turkey; [Kilic, Ozkan] Middle E Tech Univ, Inst Informat, TR-06531 Ankara, Turkey; [Topalli, Damla] Atilim Univ, Dept Comp Engn, Ankara, Turkey en_US
gdc.description.endpage 2195 en_US
gdc.description.issue 8 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 2184 en_US
gdc.description.volume 86 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q2
gdc.identifier.openalex W1967041918
gdc.identifier.wos WOS:000322351100016
gdc.openalex.fwci 4.08610829
gdc.openalex.normalizedpercentile 0.94
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 25
gdc.plumx.crossrefcites 5
gdc.plumx.mendeley 237
gdc.plumx.scopuscites 37
gdc.scopus.citedcount 37
gdc.wos.citedcount 22
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