Improving software maintenance using process mining and predictive analytics

Monika Gupta; Alexander Serebrenik; Pankaj Jalote

doi:10.1109/ICSME.2017.39

Improving software maintenance using process mining and predictive analytics

Monika Gupta
, Alexander Serebrenik (Supervisor)
, Pankaj Jalote (Supervisor)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Original language	English
Title of host publication	Proceedings - 2017 IEEE International Conference on Software Maintenance and Evolution, ICSME 2017
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	681-686
Number of pages	6
ISBN (Electronic)	978-1-5386-0992-7
ISBN (Print)	978-1-5386-0993-4
DOIs	https://doi.org/10.1109/ICSME.2017.39
Publication status	Published - 2 Nov 2017
Event	33rd IEEE International Conference on Software Maintenance and Evolution, ICSME 2017 - Shanghai, China Duration: 19 Sept 2017 → 22 Sept 2017 Conference number: 33 https://icsme2017.github.io/

Conference

Conference	33rd IEEE International Conference on Software Maintenance and Evolution, ICSME 2017
Abbreviated title	ICSME 2017
Country/Territory	China
City	Shanghai
Period	19/09/17 → 22/09/17
Internet address	https://icsme2017.github.io/

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10.1109/ICSME.2017.39

Cite this

@inproceedings{ef7dd0dd99014537ba5e3c019c62c492,

title = "Improving software maintenance using process mining and predictive analytics",

author = "Monika Gupta and Alexander Serebrenik and Pankaj Jalote",

year = "2017",

month = nov,

day = "2",

doi = "10.1109/ICSME.2017.39",

language = "English",

isbn = "978-1-5386-0993-4",

pages = "681--686",

booktitle = "Proceedings - 2017 IEEE International Conference on Software Maintenance and Evolution, ICSME 2017",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "33rd IEEE International Conference on Software Maintenance and Evolution, ICSME 2017, ICSME 2017 ; Conference date: 19-09-2017 Through 22-09-2017",

url = "https://icsme2017.github.io/",

}

Gupta, M, Serebrenik, A & Jalote, P 2017, Improving software maintenance using process mining and predictive analytics. in Proceedings - 2017 IEEE International Conference on Software Maintenance and Evolution, ICSME 2017., 8094481, Institute of Electrical and Electronics Engineers, Piscataway, pp. 681-686, 33rd IEEE International Conference on Software Maintenance and Evolution, ICSME 2017, Shanghai, China, 19/09/17. https://doi.org/10.1109/ICSME.2017.39

Improving software maintenance using process mining and predictive analytics. / Gupta, Monika; Serebrenik, Alexander (Supervisor); Jalote, Pankaj (Supervisor).
Proceedings - 2017 IEEE International Conference on Software Maintenance and Evolution, ICSME 2017. Piscataway: Institute of Electrical and Electronics Engineers, 2017. p. 681-686 8094481.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Improving software maintenance using process mining and predictive analytics

AU - Gupta, Monika

A2 - Serebrenik, Alexander

A2 - Jalote, Pankaj

N1 - Conference code: 33

PY - 2017/11/2

Y1 - 2017/11/2

UR - https://www.scopus.com/pages/publications/85040585168

U2 - 10.1109/ICSME.2017.39

DO - 10.1109/ICSME.2017.39

M3 - Conference contribution

AN - SCOPUS:85040585168

SN - 978-1-5386-0993-4

SP - 681

EP - 686

BT - Proceedings - 2017 IEEE International Conference on Software Maintenance and Evolution, ICSME 2017

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 33rd IEEE International Conference on Software Maintenance and Evolution, ICSME 2017

Y2 - 19 September 2017 through 22 September 2017

ER -

Improving software maintenance using process mining and predictive analytics

Conference

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