Instant and global consistency checking during collaborative engineering

Author:

Tröls Michael AlexanderORCID,Marchezan Luciano,Mashkoor Atif,Egyed Alexander

Abstract

AbstractEngineering projects involve a variety of artifacts such as requirements, design, or source code. These artifacts, many of which tend to be interdependent, are often manipulated concurrently. To keep artifacts consistent, engineers must continuously consider their work in relation to the work of multiple other engineers. Traditional consistency checking approaches reason efficiently over artifact changes and their consistency implications. However, they do so solely within the boundaries of specific tools and their specific artifacts (e.g., consistency checking between different UML models). This makes it difficult to examine the consistency between different types of artifacts (e.g., consistency checking between UML models and the source code). Global consistency checking can help addressing this problem. However, it usually requires a disruptive and time-consuming merging process for artifacts. This article presents a novel, cloud-based approach to global consistency checking in a multi-developer/-tool engineering environment. It allows for global consistency checking across all artifacts that engineers work on concurrently. Moreover, it reasons over artifact changes immediately after the change happened, while keeping the (memory/CPU) cost of consistency checking minimal. The feasibility and scalability of our approach were demonstrated by a prototype implementation and through an empirical validation.

Funder

Johannes Kepler University Linz

Publisher

Springer Science and Business Media LLC

Subject

Modeling and Simulation,Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Towards Confidentiality in Multi-Model Inconsistency Detection for Systems Engineering;2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C);2023-10-01

2. A new versioning approach for collaboration in blended modeling;Journal of Computer Languages;2023-08

3. Fulfilling Industrial Needs for Consistency Among Engineering Artifacts;2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP);2023-05

4. Model Management to Support Systems Engineering Workflows Using Ontology-Based Knowledge Graphs;2023

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