Discovering requirements through goal-driven process mining

Jacek Dabrowski; Fitsum Meshesha Kifetew; Denisse Muñante; Emmanuel Letier; Alberto Siena; Angelo Susi

doi:10.1109/REW.2017.61

Discovering requirements through goal-driven process mining

Jacek Dabrowski, Fitsum Meshesha Kifetew, Denisse Muñante, Emmanuel Letier, Alberto Siena, Angelo Susi

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

Abstract

Software systems are designed to support their users in performing tasks that are parts of more general processes. Unfortunately, software designers often make invalid assumptions about the users' processes and therefore about the requirements to support such processes. Eliciting and validating such assumptions through manual means (e.g., through observations, interviews, and workshops) is expensive, time-consuming, and may fail to identify the users' real processes. Using process mining may reduce these problems by automating the monitoring and discovery of the actual processes followed by a crowd of users. The Crowd provides an opportunity to involve diverse groups of users to interact with a system and conduct their intended processes. This implicit feedback in the form of discovered processes can then be used to modify the existing system's functionalities and ensure whether or not a software product is used as initially designed. In addition, the analysis of user-system interactions may reveal lacking functionalities and quality issues. These ideas are illustrated on the GreenSoft personal energy management system.

Original language	English
Title of host publication	Proceedings - 2017 IEEE 25th International Requirements Engineering Conference Workshops, REW 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	199-203
Number of pages	5
ISBN (Electronic)	9781538634882
DOIs	https://doi.org/10.1109/REW.2017.61
Publication status	Published - 29 Sep 2017
Externally published	Yes
Event	25th IEEE International Requirements Engineering Conference Workshops, REW 2017 - Lisbon, Portugal Duration: 4 Sep 2017 → 8 Sep 2017

Publication series

Name	Proceedings - 2017 IEEE 25th International Requirements Engineering Conference Workshops, REW 2017

Conference

Conference	25th IEEE International Requirements Engineering Conference Workshops, REW 2017
Country/Territory	Portugal
City	Lisbon
Period	4/09/17 → 8/09/17

Keywords

Crowdsourcing
Goal orientation
Process mining
Process validation
Requirements engineering

Access to Document

10.1109/REW.2017.61

Cite this

Dabrowski, J., Kifetew, F. M., Muñante, D., Letier, E., Siena, A., & Susi, A. (2017). Discovering requirements through goal-driven process mining. In Proceedings - 2017 IEEE 25th International Requirements Engineering Conference Workshops, REW 2017 (pp. 199-203). Article 8054853 (Proceedings - 2017 IEEE 25th International Requirements Engineering Conference Workshops, REW 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/REW.2017.61

Dabrowski, Jacek ; Kifetew, Fitsum Meshesha ; Muñante, Denisse et al. / Discovering requirements through goal-driven process mining. Proceedings - 2017 IEEE 25th International Requirements Engineering Conference Workshops, REW 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 199-203 (Proceedings - 2017 IEEE 25th International Requirements Engineering Conference Workshops, REW 2017).

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abstract = "Software systems are designed to support their users in performing tasks that are parts of more general processes. Unfortunately, software designers often make invalid assumptions about the users' processes and therefore about the requirements to support such processes. Eliciting and validating such assumptions through manual means (e.g., through observations, interviews, and workshops) is expensive, time-consuming, and may fail to identify the users' real processes. Using process mining may reduce these problems by automating the monitoring and discovery of the actual processes followed by a crowd of users. The Crowd provides an opportunity to involve diverse groups of users to interact with a system and conduct their intended processes. This implicit feedback in the form of discovered processes can then be used to modify the existing system's functionalities and ensure whether or not a software product is used as initially designed. In addition, the analysis of user-system interactions may reveal lacking functionalities and quality issues. These ideas are illustrated on the GreenSoft personal energy management system.",

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Dabrowski, J, Kifetew, FM, Muñante, D, Letier, E, Siena, A & Susi, A 2017, Discovering requirements through goal-driven process mining. in Proceedings - 2017 IEEE 25th International Requirements Engineering Conference Workshops, REW 2017., 8054853, Proceedings - 2017 IEEE 25th International Requirements Engineering Conference Workshops, REW 2017, Institute of Electrical and Electronics Engineers Inc., pp. 199-203, 25th IEEE International Requirements Engineering Conference Workshops, REW 2017, Lisbon, Portugal, 4/09/17. https://doi.org/10.1109/REW.2017.61

Discovering requirements through goal-driven process mining. / Dabrowski, Jacek; Kifetew, Fitsum Meshesha; Muñante, Denisse et al.
Proceedings - 2017 IEEE 25th International Requirements Engineering Conference Workshops, REW 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 199-203 8054853 (Proceedings - 2017 IEEE 25th International Requirements Engineering Conference Workshops, REW 2017).

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

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AU - Susi, Angelo

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AB - Software systems are designed to support their users in performing tasks that are parts of more general processes. Unfortunately, software designers often make invalid assumptions about the users' processes and therefore about the requirements to support such processes. Eliciting and validating such assumptions through manual means (e.g., through observations, interviews, and workshops) is expensive, time-consuming, and may fail to identify the users' real processes. Using process mining may reduce these problems by automating the monitoring and discovery of the actual processes followed by a crowd of users. The Crowd provides an opportunity to involve diverse groups of users to interact with a system and conduct their intended processes. This implicit feedback in the form of discovered processes can then be used to modify the existing system's functionalities and ensure whether or not a software product is used as initially designed. In addition, the analysis of user-system interactions may reveal lacking functionalities and quality issues. These ideas are illustrated on the GreenSoft personal energy management system.

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Dabrowski J, Kifetew FM, Muñante D, Letier E, Siena A, Susi A. Discovering requirements through goal-driven process mining. In Proceedings - 2017 IEEE 25th International Requirements Engineering Conference Workshops, REW 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 199-203. 8054853. (Proceedings - 2017 IEEE 25th International Requirements Engineering Conference Workshops, REW 2017). doi: 10.1109/REW.2017.61

Discovering requirements through goal-driven process mining

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Keywords

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