FindICI: Using machine learning to detect linguistic inconsistencies between code and natural language descriptions in infrastructure-as-code

Nemania Borovits; Indika Kumara; Dario Di Nucci; Parvathy Krishnan; Stefano Dalla Palma; Fabio Palomba; Damian A Tamburri; Willem-Jan van den Heuvel

FindICI: Using machine learning to detect linguistic inconsistencies between code and natural language descriptions in infrastructure-as-code

Nemania Borovits
, Indika Kumara
, Dario Di Nucci
, Parvathy Krishnan
, Stefano Dalla Palma
, Fabio Palomba
, Damian A Tamburri
, Willem-Jan van den Heuvel

Data Governance

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Pages (from-to)	178
Number of pages	1
Journal	Empirical Software Engineering
Volume	27
Issue number	7
Publication status	Published - 2022

Cite this

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title = "FindICI: Using machine learning to detect linguistic inconsistencies between code and natural language descriptions in infrastructure-as-code",

author = "Nemania Borovits and Indika Kumara and \{Di Nucci\}, Dario and Parvathy Krishnan and Palma, \{Stefano Dalla\} and Fabio Palomba and Tamburri, \{Damian A\} and Heuvel, \{Willem-Jan van den\}",

year = "2022",

language = "English",

volume = "27",

pages = "178",

journal = "Empirical Software Engineering",

issn = "1382-3256",

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T1 - FindICI: Using machine learning to detect linguistic inconsistencies between code and natural language descriptions in infrastructure-as-code

AU - Borovits, Nemania

AU - Kumara, Indika

AU - Di Nucci, Dario

AU - Krishnan, Parvathy

AU - Palma, Stefano Dalla

AU - Palomba, Fabio

AU - Tamburri, Damian A

AU - Heuvel, Willem-Jan van den

PY - 2022

Y1 - 2022

M3 - Article

SN - 1382-3256

VL - 27

SP - 178

JO - Empirical Software Engineering

JF - Empirical Software Engineering

IS - 7

ER -