Process Mining: Auditing Approach Based on Process Discovery Using Frequency Paths Concept
In the company environment, the management team is responsible for producing normative models. The normative model is considered a standard model that aims at auditing all business processes in the same context. In this regard, the audit operation encompasses four process mining activities, in a hyb...
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| Format: | Article |
| Language: | English |
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Academy of Sciences Malaysia
2022-11-01
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| Series: | ASM Science Journal |
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| Online Access: | https://doi.org/10.32802/asmscj.2022.1225 |
| _version_ | 1797900885806809088 |
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| author | zineb lamghari |
| author_facet | zineb lamghari |
| author_sort | zineb lamghari |
| collection | DOAJ |
| description | In the company environment, the management team is responsible for producing normative models. The normative model is considered a standard model that aims at auditing all business processes in the same context. In this regard, the audit operation encompasses four process mining activities, in a hybrid evaluation (offline and online), which are the detect, the check, the compare, and the promote activities. This is still well performed for structured business processes. Otherwise, complex processes may deviate from the initial defined normative model context. Indeed, the latter must be refined for more precise results. Therefore, the combination of human knowledge, control-flow discovery algorithms, and process mining activities is required. To this end, we present a technique for reducing the complexity of unstructured process models (Spaghetti process models) into structured ones (Lasagna process models). This framework outputs a refined normative model for improving the future Business Process (BP) auditing operations. Moreover, this work introduces the sustainability advantage that can occur using process mining techniques. |
| first_indexed | 2024-04-10T08:52:02Z |
| format | Article |
| id | doaj.art-1c707cae3a1e4871b7cbd19ad32898ec |
| institution | Directory Open Access Journal |
| issn | 1823-6782 |
| language | English |
| last_indexed | 2024-04-10T08:52:02Z |
| publishDate | 2022-11-01 |
| publisher | Academy of Sciences Malaysia |
| record_format | Article |
| series | ASM Science Journal |
| spelling | doaj.art-1c707cae3a1e4871b7cbd19ad32898ec2023-02-22T04:03:02ZengAcademy of Sciences MalaysiaASM Science Journal1823-67822022-11-011711110.32802/asmscj.2022.12251225Process Mining: Auditing Approach Based on Process Discovery Using Frequency Paths Conceptzineb lamghari0LRIT Associated Unit to CNRST (URAC 29), Faculty of Sciences, Rabat IT Center, Mohammed V University in Rabat, MoroccoIn the company environment, the management team is responsible for producing normative models. The normative model is considered a standard model that aims at auditing all business processes in the same context. In this regard, the audit operation encompasses four process mining activities, in a hybrid evaluation (offline and online), which are the detect, the check, the compare, and the promote activities. This is still well performed for structured business processes. Otherwise, complex processes may deviate from the initial defined normative model context. Indeed, the latter must be refined for more precise results. Therefore, the combination of human knowledge, control-flow discovery algorithms, and process mining activities is required. To this end, we present a technique for reducing the complexity of unstructured process models (Spaghetti process models) into structured ones (Lasagna process models). This framework outputs a refined normative model for improving the future Business Process (BP) auditing operations. Moreover, this work introduces the sustainability advantage that can occur using process mining techniques.https://doi.org/10.32802/asmscj.2022.1225process miningaudit activitiesspaghetspaghetti process modellasagna process modelnormative process modelcontrol-flow discovery algorithm |
| spellingShingle | zineb lamghari Process Mining: Auditing Approach Based on Process Discovery Using Frequency Paths Concept ASM Science Journal process mining audit activities spaghet spaghetti process model lasagna process model normative process model control-flow discovery algorithm |
| title | Process Mining: Auditing Approach Based on Process Discovery Using Frequency Paths Concept |
| title_full | Process Mining: Auditing Approach Based on Process Discovery Using Frequency Paths Concept |
| title_fullStr | Process Mining: Auditing Approach Based on Process Discovery Using Frequency Paths Concept |
| title_full_unstemmed | Process Mining: Auditing Approach Based on Process Discovery Using Frequency Paths Concept |
| title_short | Process Mining: Auditing Approach Based on Process Discovery Using Frequency Paths Concept |
| title_sort | process mining auditing approach based on process discovery using frequency paths concept |
| topic | process mining audit activities spaghet spaghetti process model lasagna process model normative process model control-flow discovery algorithm |
| url | https://doi.org/10.32802/asmscj.2022.1225 |
| work_keys_str_mv | AT zineblamghari processminingauditingapproachbasedonprocessdiscoveryusingfrequencypathsconcept |