Streaming Process Discovery Method for Semi-Structured Business Processes

Batyuk, Anatoliy; Voityshyn, Volodymyr

doi:10.1109/dsmp47368.2020.9204201

Cited by 6 publications

(7 citation statements)

References 6 publications

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“…However, to ensure the use of the decision support tool set and to take full advantage of the estimation life cycle (ELC) concept, the method's integration into a fully scaled estimation information technology is envisioned [34], including other estimation methods with the ability to accumulate historical data (which, in particular, will be beneficial for the use of AI-based techniques). Apart from estimation methods, the envisioned information technology will include a process-mining module aimed at monitoring and improving the estimation processes [35].…”

Section: Discussionmentioning

confidence: 99%

“…To show how the preliminary estimation is applied, a software product named "Realtime Business Process Monitoring for Estimation" (RTBPM-E) [34,35] is used here and below. In Table 1 and in Figure 3, an EIBS is provided for RTBPM-E. Visualization of a process model Graph-based visualization of a process model on a web page.…”

Section: Estimable-item Breakdown Structurementioning

confidence: 99%

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Preliminary Estimation for Software Development Projects Empowered with a Method of Recommending Optimal Duration and Team Composition

Teslyuk,

Batyuk,

Voityshyn

2024

ASI

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In the early software development stages, the aim of estimation is to obtain a rough understanding of the timeline and resources required to implement a potential project. The current study is devoted to a method of preliminary estimation applicable at the beginning of the software development life cycle when the level of uncertainty is high. The authors’ concepts of the estimation life cycle, the estimable items breakdown structure, and a system of working-time balance equations in conjunction with an agile-fashioned sizing approach are used. To minimize the experts’ working time spent on preliminary estimation, the authors applied a decision support procedure based on integer programming and the analytic hierarchy process. The method’s outcomes are not definitive enough to make commitments; instead, they are supposed to be used for communication with project stakeholders or as inputs for the subsequent estimation stages. For practical usage of the preliminary estimation method, a semistructured business process is proposed.

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Section: Discussionmentioning

confidence: 99%

Section: Estimable-item Breakdown Structurementioning

confidence: 99%

Preliminary Estimation for Software Development Projects Empowered with a Method of Recommending Optimal Duration and Team Composition

Teslyuk,

Batyuk,

Voityshyn

2024

ASI

View full text Add to dashboard Cite

show abstract

“…After combining ( 5), (6), and (10), it implies the following system of working time balance equations:…”

Section: System Of Working Time Balance Equationsmentioning

confidence: 99%

“…Software implementation of the method does not require a sophisticated toolset-in the simplest scenario, the implementation can be done as a spreadsheet (e.g., MS Excel, Google Sheets, etc. ); according to the authors' vision, the method is going to be included in the software product [10].…”

Section: Introductionmentioning

confidence: 99%

Method of Software Development Project Duration Estimation for Scrum Teams with Differentiated Specializations

Teslyuk

Batyuk

Voityshyn

2022

Systems

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Estimation is an essential step of software development project planning that has a significant impact on project success—underestimation often leads to problems with the delivery or even causes project failure. An important aspect that the classical estimation methods are usually missing is the Agile nature of development processes in the implementation phase. The estimation method proposed in this article aims at software development projects implemented by Scrum teams with differentiated specializations. The method is based on the authors’ system of working-time balance equations and the approach to measuring project scope with time-based units—normalized development estimates. In order to reduce efforts spent on the estimation itself, an analysis of dependencies among project tasks is not mandatory. The outputs of the methods are not recommended to be treated as commitments; instead, they are supposed to be used to inform project stakeholders about the forecasted duration of a potential project. The method is simple enough to allow even an inexpensive spreadsheet-based implementation.

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“…In [6], the authors adapted the Fuzzy Miner algorithm [30] to the streaming scenario. The implementation of the streaming Fuzzy Miner is integrated into the real-time business process monitoring (RTBPM) software [5], following the steps: (i) receive and store event into the database; (ii) classify the events; (iii) check if the cases are completed; and (iv) calculate log-based metrics.…”

Section: Streaming Process Discovery Dealing With Evolving Environmentsmentioning

confidence: 99%

A Survey on Concept Drift in Process Mining

et al. 2021

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Concept drift in process mining (PM) is a challenge as classical methods assume processes are in a steady-state, i.e., events share the same process version. We conducted a systematic literature review on the intersection of these areas, and thus, we review concept drift in PM and bring forward a taxonomy of existing techniques for drift detection and online PM for evolving environments. Existing works depict that (i) PM still primarily focuses on offline analysis, and (ii) the assessment of concept drift techniques in processes is cumbersome due to the lack of common evaluation protocol, datasets, and metrics.

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Streaming Process Discovery Method for Semi-Structured Business Processes

Cited by 6 publications

References 6 publications

Preliminary Estimation for Software Development Projects Empowered with a Method of Recommending Optimal Duration and Team Composition

Preliminary Estimation for Software Development Projects Empowered with a Method of Recommending Optimal Duration and Team Composition

Method of Software Development Project Duration Estimation for Scrum Teams with Differentiated Specializations

A Survey on Concept Drift in Process Mining

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