Is Machine Learning Software Just Software: A Maintainability View

Tommi Mikkonen; Jukka K. Nurminen; Mikko Raatikainen; Ilenia Fronza; Niko Mäkitalo; Tomi Männistö

doi:10.1007/978-3-030-65854-0_8

Is Machine Learning Software Just Software: A Maintainability View

Tommi Mikkonen
, Jukka K. Nurminen
, Mikko Raatikainen
, Ilenia Fronza
, Niko Mäkitalo
, Tomi Männistö

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Abstrakti

Artificial intelligence (AI) and machine learning (ML) is becoming commonplace in numerous fields. As they are often embedded in the context of larger software systems, issues that are faced with software systems in general are also applicable to AI/ML. In this paper, we address ML systems and their characteristics in the light of software maintenance and its attributes, modularity, testability, reusability, analysability, and modifiability. To achieve this, we pinpoint similarities and differences between ML software and software as we traditionally understand it, and draw parallels as well as provide a programmer's view to ML at a general level, using the established software design principles as the starting point.

Alkuperäiskieli	englanti
Otsikko	Software Quality: Future Perspectives on Software Engineering Quality
Toimittajat	Dietmar Winkler, Stefan Biffl, Daniel Mendez, Manuel Wimmer, Johannes Bergsmann
Sivumäärä	12
Julkaisupaikka	Cham
Kustantaja	Springer
Julkaisupäivä	2021
Sivut	94-105
ISBN (painettu)	978-3-030-65854-0
DOI - pysyväislinkit	https://doi.org/10.1007/978-3-030-65854-0_8
Tila	Julkaistu - 2021
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisuussa
Tapahtuma	International Conference on Software Quality - Kesto: 19 tammik. 2021 → 21 tammik. 2021 Konferenssinumero: 13

Julkaisusarja

Nimi	Lecture Notes in Business Information Processing
Vuosikerta	404

Tieteenalat

113 Tietojenkäsittely- ja informaatiotieteet

Pääsy asiakirjaan

10.1007/978-3-030-65854-0_8

sqd21_ai_seHyväksytty kirjoittajan käsikirjoitus, 220 KBLisenssi: Määrittelemätön

Siteeraa tätä

Mikkonen, T., Nurminen, J. K., Raatikainen, M., Fronza, I., Mäkitalo, N., & Männistö, T. (2021). Is Machine Learning Software Just Software: A Maintainability View. teoksessa D. Winkler, S. Biffl, D. Mendez, M. Wimmer, & J. Bergsmann (Toimittajat), Software Quality: Future Perspectives on Software Engineering Quality (Sivut 94-105). ( Lecture Notes in Business Information Processing ; Vuosikerta 404). Springer. https://doi.org/10.1007/978-3-030-65854-0_8

Mikkonen, Tommi ; Nurminen, Jukka K. ; Raatikainen, Mikko et al. / Is Machine Learning Software Just Software: A Maintainability View. Software Quality: Future Perspectives on Software Engineering Quality. Toimittaja / Dietmar Winkler ; Stefan Biffl ; Daniel Mendez ; Manuel Wimmer ; Johannes Bergsmann. Cham : Springer, 2021. Sivut 94-105 ( Lecture Notes in Business Information Processing ).

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title = "Is Machine Learning Software Just Software: A Maintainability View",

abstract = "Artificial intelligence (AI) and machine learning (ML) is becoming commonplace in numerous fields. As they are often embedded in the context of larger software systems, issues that are faced with software systems in general are also applicable to AI/ML. In this paper, we address ML systems and their characteristics in the light of software maintenance and its attributes, modularity, testability, reusability, analysability, and modifiability. To achieve this, we pinpoint similarities and differences between ML software and software as we traditionally understand it, and draw parallels as well as provide a programmer's view to ML at a general level, using the established software design principles as the starting point.",

keywords = "113 Computer and information sciences",

author = "Tommi Mikkonen and Nurminen, \{Jukka K.\} and Mikko Raatikainen and Ilenia Fronza and Niko M{\"a}kitalo and Tomi M{\"a}nnist{\"o}",

year = "2021",

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Mikkonen, T, Nurminen, JK , Raatikainen, M, Fronza, I, Mäkitalo, N & Männistö, T 2021, Is Machine Learning Software Just Software: A Maintainability View. julkaisussa D Winkler, S Biffl, D Mendez, M Wimmer & J Bergsmann (toim), Software Quality: Future Perspectives on Software Engineering Quality. Lecture Notes in Business Information Processing , Vuosikerta 404, Springer, Cham, Sivut 94-105, International Conference on Software Quality, 19/01/2021. https://doi.org/10.1007/978-3-030-65854-0_8

Is Machine Learning Software Just Software: A Maintainability View. / Mikkonen, Tommi; Nurminen, Jukka K.; Raatikainen, Mikko et al.
Software Quality: Future Perspectives on Software Engineering Quality. toim. / Dietmar Winkler; Stefan Biffl; Daniel Mendez; Manuel Wimmer; Johannes Bergsmann. Cham: Springer, 2021. s. 94-105 ( Lecture Notes in Business Information Processing ; Vuosikerta 404).

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

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AU - Mikkonen, Tommi

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AU - Männistö, Tomi

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N2 - Artificial intelligence (AI) and machine learning (ML) is becoming commonplace in numerous fields. As they are often embedded in the context of larger software systems, issues that are faced with software systems in general are also applicable to AI/ML. In this paper, we address ML systems and their characteristics in the light of software maintenance and its attributes, modularity, testability, reusability, analysability, and modifiability. To achieve this, we pinpoint similarities and differences between ML software and software as we traditionally understand it, and draw parallels as well as provide a programmer's view to ML at a general level, using the established software design principles as the starting point.

AB - Artificial intelligence (AI) and machine learning (ML) is becoming commonplace in numerous fields. As they are often embedded in the context of larger software systems, issues that are faced with software systems in general are also applicable to AI/ML. In this paper, we address ML systems and their characteristics in the light of software maintenance and its attributes, modularity, testability, reusability, analysability, and modifiability. To achieve this, we pinpoint similarities and differences between ML software and software as we traditionally understand it, and draw parallels as well as provide a programmer's view to ML at a general level, using the established software design principles as the starting point.

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Mikkonen T, Nurminen JK , Raatikainen M, Fronza I, Mäkitalo N , Männistö T. Is Machine Learning Software Just Software: A Maintainability View. julkaisussa Winkler D, Biffl S, Mendez D, Wimmer M, Bergsmann J, toimittajat, Software Quality: Future Perspectives on Software Engineering Quality. Cham: Springer. 2021. s. 94-105. ( Lecture Notes in Business Information Processing ). doi: 10.1007/978-3-030-65854-0_8