Performing and analyzing non-formal inspections of entity relationship diagram (ERD)

dc.authoridCagiltay, Nergiz/0000-0003-0875-9276
dc.authorscopusid16237826800
dc.authorscopusid24333488200
dc.authorscopusid57214011731
dc.authorscopusid55698308700
dc.authorwosidCagiltay, Nergiz/O-3082-2019
dc.contributor.authorCagiltay, Nergiz Ercil
dc.contributor.authorTokdemir, Gul
dc.contributor.authorKilic, Ozkan
dc.contributor.authorTopalli, Damla
dc.contributor.otherInformation Systems Engineering
dc.contributor.otherComputer Engineering
dc.contributor.otherSoftware Engineering
dc.date.accessioned2024-07-05T14:28:23Z
dc.date.available2024-07-05T14:28:23Z
dc.date.issued2013
dc.departmentAtılım Universityen_US
dc.department-temp[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, Turkeyen_US
dc.descriptionCagiltay, Nergiz/0000-0003-0875-9276en_US
dc.description.abstractDesigning 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.identifier.citation25
dc.identifier.doi10.1016/j.jss.2013.03.106
dc.identifier.endpage2195en_US
dc.identifier.issn0164-1212
dc.identifier.issn1873-1228
dc.identifier.issue8en_US
dc.identifier.scopus2-s2.0-84880146772
dc.identifier.startpage2184en_US
dc.identifier.urihttps://doi.org/10.1016/j.jss.2013.03.106
dc.identifier.urihttps://hdl.handle.net/20.500.14411/372
dc.identifier.volume86en_US
dc.identifier.wosWOS:000322351100016
dc.identifier.wosqualityQ2
dc.institutionauthorTopallı, Damla
dc.institutionauthorTokdemir, Gül
dc.institutionauthorKılıç, Özkan
dc.institutionauthorÇağıltay, Nergiz
dc.language.isoenen_US
dc.publisherElsevier Science incen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDefect detectionen_US
dc.subjectERDen_US
dc.subjectEye trackingen_US
dc.titlePerforming and analyzing non-formal inspections of entity relationship diagram (ERD)en_US
dc.typeArticleen_US
dspace.entity.typePublication
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