Software Code Smell Prediction Model Using Shannon, Renyi and Tsallis Entropies
dc.authorid | Misra, Sanjay/0000-0002-3556-9331 | |
dc.authorid | Damaševičius, Robertas/0000-0001-9990-1084 | |
dc.authorid | KUMAR, VIJAY/0000-0002-2996-7181 | |
dc.authorid | Gupta, Aakanshi/0000-0003-0835-8413 | |
dc.authorscopusid | 57195277608 | |
dc.authorscopusid | 55515690800 | |
dc.authorscopusid | 57203334494 | |
dc.authorscopusid | 56962766700 | |
dc.authorscopusid | 35145439900 | |
dc.authorscopusid | 6603451290 | |
dc.authorwosid | Gupta, Aakanshi/CAG-2911-2022 | |
dc.authorwosid | Misra, Sanjay/K-2203-2014 | |
dc.authorwosid | Damaševičius, Robertas/E-1387-2017 | |
dc.authorwosid | KUMAR, VIJAY/Y-1353-2019 | |
dc.contributor.author | Mısra, Sanjay | |
dc.contributor.author | Suri, Bharti | |
dc.contributor.author | Kumar, Vijay | |
dc.contributor.author | Misra, Sanjay | |
dc.contributor.author | Blazauskas, Tomas | |
dc.contributor.author | Damasevicius, Robertas | |
dc.contributor.other | Computer Engineering | |
dc.date.accessioned | 2024-07-05T15:27:48Z | |
dc.date.available | 2024-07-05T15:27:48Z | |
dc.date.issued | 2018 | |
dc.department | Atılım University | en_US |
dc.department-temp | [Gupta, Aakanshi] Amity Sch Engn & Technol, Dept Comp Sci & Engn, New Delhi 110061, India; [Suri, Bharti] Guru Gobind Singh Indraprastha Univ, Univ Sch Informat Commun & Technol, New Delhi 110078, India; [Kumar, Vijay] Amity Sch Engn & Technol, Dept Math, New Delhi 110061, India; [Misra, Sanjay] Covenant Univ, Ctr Informat & Commun Technol Engn ICT ICE Res, New Bldg Covenant Univ Ctr Res Innovat & Dev, Ota 112231, Nigeria; [Misra, Sanjay] Atilim Univ, Dept Comp Engn, TR-06836 Incek, Turkey; [Blazauskas, Tomas; Damasevicius, Robertas] Kaunas Univ Technol, Dept Software Engn, LT-44249 Kaunas, Lithuania | en_US |
dc.description | Misra, Sanjay/0000-0002-3556-9331; Damaševičius, Robertas/0000-0001-9990-1084; KUMAR, VIJAY/0000-0002-2996-7181; Gupta, Aakanshi/0000-0003-0835-8413 | en_US |
dc.description.abstract | The current era demands high quality software in a limited time period to achieve new goals and heights. To meet user requirements, the source codes undergo frequent modifications which can generate the bad smells in software that deteriorate the quality and reliability of software. Source code of the open source software is easily accessible by any developer, thus frequently modifiable. In this paper, we have proposed a mathematical model to predict the bad smells using the concept of entropy as defined by the Information Theory. Open-source software Apache Abdera is taken into consideration for calculating the bad smells. Bad smells are collected using a detection tool from sub components of the Apache Abdera project, and different measures of entropy (Shannon, Renyi and Tsallis entropy). By applying non-linear regression techniques, the bad smells that can arise in the future versions of software are predicted based on the observed bad smells and entropy measures. The proposed model has been validated using goodness of fit parameters (prediction error, bias, variation, and Root Mean Squared Prediction Error (RMSPE)). The values of model performance statistics (R-2, adjusted R-2, Mean Square Error (MSE) and standard error) also justify the proposed model. We have compared the results of the prediction model with the observed results on real data. The results of the model might be helpful for software development industries and future researchers. | en_US |
dc.identifier.citation | 26 | |
dc.identifier.doi | 1.80E+308 | |
dc.identifier.issn | 1099-4300 | |
dc.identifier.issue | 5 | en_US |
dc.identifier.pmid | 33265462 | |
dc.identifier.scopus | 2-s2.0-85051576215 | |
dc.identifier.scopusquality | Q2 | |
dc.identifier.uri | https://doi.org/10.3390/e20050372 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14411/2725 | |
dc.identifier.volume | 20 | en_US |
dc.identifier.wos | WOS:000435193100065 | |
dc.identifier.wosquality | Q2 | |
dc.language.iso | en | en_US |
dc.publisher | Mdpi | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | software design defects | en_US |
dc.subject | software quality | en_US |
dc.subject | code smell | en_US |
dc.subject | entropy | en_US |
dc.subject | statistical model | en_US |
dc.subject | regression | en_US |
dc.title | Software Code Smell Prediction Model Using Shannon, Renyi and Tsallis Entropies | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication | |
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