From event logs to goals: a systematic literature review of goal-oriented process mining

Ghasemi, Mahdi; Amyot, Daniel

doi:10.1007/s00766-018-00308-3

Cited by 48 publications

(31 citation statements)

References 96 publications

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“…Our literature reviews [3,4] show that process mining has neglected the potential benefits of goal models so far. Accordingly, in this paper, the goal-oriented method GoPED is proposed.…”

Section: Discussionmentioning

confidence: 99%

“…Narrowing down the research topic, we provided a second literature review [3], which analyzed 24 papers to assess the state of goal-oriented process mining. We concluded that there is no coherent line of research yet about the use of process mining in association with goals.…”

Section: State Of the Art And Literature Reviewmentioning

confidence: 99%

“…In the context of requirements engineering, goal modeling is used to support heuristic, qualitative, or formal reasoning about stakeholder and system goals, and ultimately what-if/trade-off analysis and decision making [2]. While process mining is an activity-oriented approach and therefore focuses on "how", "what", "where", "who", and especially "when" questions, goaloriented modeling focuses mainly on answering "why" questions that are not considered by process mining [3].…”

Section: Introductionmentioning

confidence: 99%

“…In the first review [4], the status of process mining in general (and in healthcare in particular) was assessed and we concluded that process mining is a growing research topic that emerged in the last decade and that deserves to be better developed. In the second one [3], we focused on goal-oriented process mining. This review concluded that, although process mining and goal modeling are growing research topics with considerable amounts of publications, there are only a few rare studies conducted at their intersection, which we refer to as "goal-oriented process mining".…”

Section: Introductionmentioning

confidence: 99%

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Towards Goal-Oriented Process Mining

Ghasemi

2018

2018 IEEE 26th International Requirements Engineering Conference (RE)

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The growth of our digital world makes it possible to record many types of events. In particular, the number of business processes whose events are being logged is significantly increasing. Process mining is an approach that exploits event logs to discover real processes executed in organizations, enabling them to (re)design and improve process models. Goal modeling, on the other hand, is a requirements engineering approach mainly used to analyze what-if situations and support decision making. Common problems with process mining include the complexity of discovered "spaghetti" processes and a lack of goal-process alignment. Current process mining practices are mainly oriented towards activities and do not profit from considering stakeholder goals and requirements to manage complexity and alignment. Involving goalrelated factors can augment the precision and interpretability of mined models and lead to better opportunities to satisfy stakeholders. In this research, I propose two methods (for goal-oriented process and enhancement discovery, and for conformance checking) that show potentially synergetic effects achievable by combining process mining and goal-oriented modeling. The paper reports on the research method, the gap/problems being addressed, preliminary solutions, expected contributions, and main foreseen challenges.

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“…Our literature reviews [3,4] show that process mining has neglected the potential benefits of goal models so far. Accordingly, in this paper, the goal-oriented method GoPED is proposed.…”

Section: Discussionmentioning

confidence: 99%

Section: State Of the Art And Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Towards Goal-Oriented Process Mining

Ghasemi

2018

2018 IEEE 26th International Requirements Engineering Conference (RE)

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“…These two domains can learn from one another and propose synergic benefits that can only be achieved with two domains working together rather than in isolation. A recent systematic literature review [15] shows that such a synergy is yet sparse. This paper highlights the way in which requirements engineers can use process mining capabilities and exploit huge data logs in RE activities.…”

Section: Introductionmentioning

confidence: 99%

What Requirements Engineering can Learn from Process Mining

Ghasemi¹

2018

2018 1st International Workshop on Learning From Other Disciplines for Requirements Engineering (D4RE)

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Process Mining is an approach that uses event logs of systems or processes and turns them into valuable insights. The main characteristic of process mining techniques is that they focus on and exploit "real behavior" of a large number of stakeholders of a system or of a process. On the other hand, requirements engineering is concerned with requirements elicitation and analysis not only in terms of software specifications but also in terms of activities carried out within an organizational and social context. Furthermore, involving a large number of users/stakeholders has always been a challenge with traditional requirements engineering methods. Although both requirements engineering and process mining have gained increasing research attention, the synergy between these two domains is yet to be exploited. Such a synergy can help both domains benefit from their capabilities and mitigate their own challenges. The ability of process mining to exploit huge data logs can help requirements engineers cope with the above challenge. This paper aims to highlight how requirements engineering can benefit from process mining's components such as execution logs, process discovery and conformance techniques for requirements elicitation, prioritization and validation.

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Goal-oriented Process Enhancement and Discovery

Ghasemi

Amyot

2019

Lecture Notes in Computer Science

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From event logs to goals: a systematic literature review of goal-oriented process mining

Cited by 48 publications

References 96 publications

Towards Goal-Oriented Process Mining

Towards Goal-Oriented Process Mining

What Requirements Engineering can Learn from Process Mining

Goal-oriented Process Enhancement and Discovery

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