See veebileht kasutab küpsiseid kasutaja sessiooni andmete hoidmiseks. Veebilehe kasutamisega nõustute ETISe kasutustingimustega. Loe rohkem
Olen nõus

Faiz Ali Shah

https://www.etis.ee/CV/Faiz Ali_Shah/est
5.06.1981
shah@ut.ee

Teenistuskäik

Töökohad ja ametid
01.09.2019–29.02.2020   
Tartu Ülikool, Loodus- ja täppisteaduste valdkond, arvutiteaduse instituut, tarkvaratehnika nooremteadur (1,00)
01.03.2019–31.08.2019   
Tartu Ülikool, Loodus- ja täppisteaduste valdkond, arvutiteaduse instituut, tarkvaratehnika nooremteadur (0,70)
01.12.2018–28.02.2019   
Tartu Ülikool, Loodus- ja täppisteaduste valdkond, arvutiteaduse instituut, tarkvaratehnika nooremteadur (0,80)

Kvalifikatsioon

Teaduskraadid
Faiz Ali Shah, doktorikraad, 2020, (juh) Dietmar Alfred Paul Kurt Pfahl; Kairit Sirts, Extracting Information from App Reviews to Facilitate Software Development Activities (Rakenduste kasutajaarvustustest informatsiooni kaevandamine tarkvara arendustegevuste soodustamiseks), Tartu Ülikool, Loodus- ja täppisteaduste valdkond, arvutiteaduse instituut.
 
 

Jooksvad projektid

Juhendatud väitekirjad

Publikatsioonid

Klass
Aasta
Publikatsioon
 
3.1.
2019
Shah, F.A.; Sirts, K.; Pfahl, D. (2019). Is the SAFE Approach Too Simple for App Feature Extraction? A Replication Study. In: Knauss E., Goedicke M. (Ed.). Requirements Engineering: Foundation for Software Quality (REFSQ 2019) (21−36). Springer, Cham. (Lecture Notes in Computer Science; 11412). DOI: 10.1007/978-3-030-15538-4_2.
3.1.
2019
Shah, Faiz Ali; Sirts, Kairit; Pfahl, Dietmar (2019). Using app reviews for competitive analysis: tool support. Proceedings of the 3rd ACM SIGSOFT International Workshop on App Market Analytics - WAMA 2019. ACM, 40−46. DOI: 10.1145/3340496.3342756.
3.1.
2019
Shah, Faiz Ali; Sirts, Kairit; Pfahl, Dietmar (2019). Simplifying the Classification of App Reviews Using Only Lexical Features. In: Software Technologies (173−193). Springer. (Communications in Computer and Information Science). DOI: 10.1007%2F978-3-030-29157-0_8.
3.1.
2019
Shah,Faiz; Sirts,Kairit; Pfahl, Dietmar; (2019). Simulating the Impact of Annotation Guidelines and Annotated Data on Extracting App Features from App Reviews. Proceedings of the 14th International Conference on Software Technologies. SCITEPRESS, 384−396. DOI: 10.5220/0007909703840396.
3.1.
2018
Shah, Faiz Ali; Sirts, Kairit; Pfahl, Dietmar (2018). Simple App Review Classification with Only Lexical Features. Proceedings of the 13th International Conference on Software Technologies - Volume 1: ICSOFT. Ed. Leszek Maciaszek and Marten van Sinderen. SciTePress, 112−119. DOI: 10.5220/0006855901120119.
3.1.
2016
Shah, Faiz Ali; Sabanin, Yevhenii; Pfahl, Dietmar (2016). Feature-based evaluation of competing apps. In: Proceedings of the International Workshop on App Market Analytics (WAMA 2016) (15−21). ACM. DOI: 10.1145/2993259.2993267.
3.1.
2016
Shah, Faiz; Pfahl, Dietmar (2016). Evaluating and Improving Software Quality Using Text Analysis Techniques - A Mapping Study. Joint Proceedings of REFSQ-2016 Workshops, Doctoral Symposium, Research Method Track, and Poster Track (REFSQ-JP 2016), Gothenburg, Sweden, March 14, 2016.: 3rd International Workshop on Requirements Engineering and Testing (RET 2016), Gothenburg, Sweden, March 14, 2016.. Ed. Elizabeth Bjarnason, Markus Borg, Marian Daun, Oscar Dieste, Sergio España, Michael Felderer, Peter Forbrig, Xavier Franch, Gregory Gay, Andrea Herrmann, Jennifer Horkoff, Marite Kirikova, Mirko Morandini, Andreas L. Opdahl, Barbara Paech, Cristina Palomares, Kai Petersen, Ahmed Seffah, Bastian Tenbergen, Michael Unterkalmsteiner. CEUR Workshop Series, 1−14. (CEUR Workshop Series; 1563).
2.10.2020

Faiz Ali Shah

https://www.etis.ee/CV/Faiz Ali_Shah/eng
5.06.1981
shah@ut.ee

Career

Institutions and positions
01.09.2019–29.02.2020   
University of Tartu, Faculty of Science and Technology, Institute of Computer Science, Junior Research Fellow of Software Engineering (1,00)
01.03.2019–31.08.2019   
University of Tartu, Faculty of Science and Technology, Institute of Computer Science, Junior Research Fellow of Software Engineering (0,70)
01.12.2018–28.02.2019   
University of Tartu, Faculty of Science and Technology, Institute of Computer Science, Junior Research Fellow of Software Engineering (0,80)

Qualifications

Academic degrees
Faiz Ali Shah, Doctor's Degree, 2020, (sup) Dietmar Alfred Paul Kurt Pfahl; Kairit Sirts, Extracting Information from App Reviews to Facilitate Software Development Activities, University of Tartu, Faculty of Science and Technology, Institute of Computer Science.
 
 

Projects in progress

Supervised dissertations

Publications

Category
Year
Publication
 
3.1.
2019
Shah, F.A.; Sirts, K.; Pfahl, D. (2019). Is the SAFE Approach Too Simple for App Feature Extraction? A Replication Study. In: Knauss E., Goedicke M. (Ed.). Requirements Engineering: Foundation for Software Quality (REFSQ 2019) (21−36). Springer, Cham. (Lecture Notes in Computer Science; 11412). DOI: 10.1007/978-3-030-15538-4_2.
3.1.
2019
Shah, Faiz Ali; Sirts, Kairit; Pfahl, Dietmar (2019). Using app reviews for competitive analysis: tool support. Proceedings of the 3rd ACM SIGSOFT International Workshop on App Market Analytics - WAMA 2019. ACM, 40−46. DOI: 10.1145/3340496.3342756.
3.1.
2019
Shah, Faiz Ali; Sirts, Kairit; Pfahl, Dietmar (2019). Simplifying the Classification of App Reviews Using Only Lexical Features. In: Software Technologies (173−193). Springer. (Communications in Computer and Information Science). DOI: 10.1007%2F978-3-030-29157-0_8.
3.1.
2019
Shah,Faiz; Sirts,Kairit; Pfahl, Dietmar; (2019). Simulating the Impact of Annotation Guidelines and Annotated Data on Extracting App Features from App Reviews. Proceedings of the 14th International Conference on Software Technologies. SCITEPRESS, 384−396. DOI: 10.5220/0007909703840396.
3.1.
2018
Shah, Faiz Ali; Sirts, Kairit; Pfahl, Dietmar (2018). Simple App Review Classification with Only Lexical Features. Proceedings of the 13th International Conference on Software Technologies - Volume 1: ICSOFT. Ed. Leszek Maciaszek and Marten van Sinderen. SciTePress, 112−119. DOI: 10.5220/0006855901120119.
3.1.
2016
Shah, Faiz Ali; Sabanin, Yevhenii; Pfahl, Dietmar (2016). Feature-based evaluation of competing apps. In: Proceedings of the International Workshop on App Market Analytics (WAMA 2016) (15−21). ACM. DOI: 10.1145/2993259.2993267.
3.1.
2016
Shah, Faiz; Pfahl, Dietmar (2016). Evaluating and Improving Software Quality Using Text Analysis Techniques - A Mapping Study. Joint Proceedings of REFSQ-2016 Workshops, Doctoral Symposium, Research Method Track, and Poster Track (REFSQ-JP 2016), Gothenburg, Sweden, March 14, 2016.: 3rd International Workshop on Requirements Engineering and Testing (RET 2016), Gothenburg, Sweden, March 14, 2016.. Ed. Elizabeth Bjarnason, Markus Borg, Marian Daun, Oscar Dieste, Sergio España, Michael Felderer, Peter Forbrig, Xavier Franch, Gregory Gay, Andrea Herrmann, Jennifer Horkoff, Marite Kirikova, Mirko Morandini, Andreas L. Opdahl, Barbara Paech, Cristina Palomares, Kai Petersen, Ahmed Seffah, Bastian Tenbergen, Michael Unterkalmsteiner. CEUR Workshop Series, 1−14. (CEUR Workshop Series; 1563).
2.10.2020

Otsi projekti

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Kõik   Tavaprojektid   Ülemprojektid   Alamprojektid  
Uus Frascati (2015)
Uus ja vana Frascati (otsing uue järgi väljastab ka seotud vanad)
Kõik
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Uus otsing (Beetaversioon) Lihtotsing Tühjenda
  • Leitud 1 kirjet
ProgrammLiikNumberNimiProjekti algusProjekti lõppVastutav täitjaAsutusFinantseerijapoolne rahastamine
TKSLTAT16148T (TK148)IT Tippkeskus EXCITE (TK148)01.01.201601.03.2023Jaak ViloTartu Ülikool, Loodus- ja täppisteaduste valdkond, arvutiteaduse instituut1 446 840,73 EUR