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Journal of Information Technology & Software Engineering

Journal of Information Technology & Software Engineering
Open Access

ISSN: 2165- 7866

Journal of Information Technology & Software Engineering : Citations & Metrics Report

Articles published in Journal of Information Technology & Software Engineering have been cited by esteemed scholars and scientists all around the world. Journal of Information Technology & Software Engineering has got h-index 7, which means every article in Journal of Information Technology & Software Engineering has got 7 average citations.

Following are the list of articles that have cited the articles published in Journal of Information Technology & Software Engineering.

  2021 2020 2019 2018 2017

Year wise published articles

66 13 13 26 24

Year wise citations received

48 52 33 21 6
Journal total citations count 178
Journal impact factor 1.10
Journal 5 years impact factor 2.27
Journal cite score 2.00
Journal h-index 7
Journal h-index since 2017 7
Important citations

Punitha k, latha b. validation of medical imaging software using metaheuristic knowledge discovery.j med imagi health info.2016;6(8):1966-71.

Ritu op. software quality estimation using soft computing techniques.2017;6(5).

Alneamy js, abdulazeezdabdoob mm. proposed binding between genetic algorithm and grey wolf optimizer to estimate the parameters of software reliability growth models.

Kumaresan k, ganeshkumar p. software reliability modeling using increased failure interval with ann. cluster computing.2019 ;22(2):3095-102.

Rastogi n, rastogi s, darbari m. fault data detection in software using a novel fgrnn algorithm.2019;10(1):236-252

Romankevich a, maidaniuk i, feseniuk a, romankevich v. complexity estimation of gl-models for calculation ftms reliability. ininternational conference on computer science, engineering and education applications. 2019;369-377.

Markov a, markov g, tsirlov v. simulation of software security tests by soft computational methods. invith international workshop «critical infrastructures: contingency management, intelligent, agent-based, cloud computing and cyber security»(iwci 2019) 2019 sep.

Al-saati na, alabajee ma. selecting best software reliability growth models: a social spider algorithm based approach. int j comp app.975:8887.

Goyal u, jaiswal a. analysing software reliability modelling aspects using soft computing methodology. in2016 international conference on computing, communication and automation (iccca) 2016;358-363.

Jayaraj v, raman ns. an hybrid multilayer perception using gso-ga for software defect prediction. int jadv res in sci eng (ijarse).2016;5(2).

Markov a, barabanov a, tsirlov v, andrey k. models for testing modifiable systems. inprobabilistic modeling in system engineering 2018 ;147-168.

Romankevich a, feseniuk a, maidaniuk i, romankevich v. fault-tolerant multiprocessor systems reliability estimation using statistical experiments with gl-models. ininternational conference on computer science, engineering and education applications. 2018;186-193.

Maevsky d, kharchenko v, kolisnyk m, maevskaya e. software reliability models and assessment techniques review: classification issues. in2017 9th ieee international conference on intelligent data acquisition and advanced computing systems: technology and applications (idaacs) 2017; 894-899.

Alneamy js, dabdoob mm. the use of original and hybrid grey wolf optimizer in estimating the parameters of software reliability growth models. int j comp app.2017;167(3):12-21.

Bhatia mp, kumar a, beniwal r. ontology based framework for detecting ambiguities in software requirements specification. in2016 3rd international conference on computing for sustainable global development (indiacom) 2016;3572-3575.

Aji mp, oktaviani k. database forensik msgstore db cryot12 pada aplikasi whatsapp. j media pratama.2018;12(1).

Tabuyo-benito r, bahsi h, peris-lopez p. forensics analysis of an on-line game over steam platform. ininternational conference on digital forensics and cyber crime.2018;06-127.

Orr da, castro a. whatsapp messenger on the android platform: a forensic examination of a physical device. forensic sci methods tech. 2018;1:04-19.

Alissa k, almubairik na, alsaleem l, alotaibi d, aldakheel m, alqhtani s, saqib n, brahimi s, alshahrani m. a comparative study of whatsapp forensics tools. sn applied sciences.2019;1(11):1320.

Malekhosseini r, hosseinzadeh m, navi k. evaluation of users' privacy concerns by checking of their whatsapp status. software: practice and experience.2018;48(5):1143-64.

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