Change Propagation-based and Composition-based Co-evolution of Transformations with Evolving Metamodels

Khelladi, Djamel Eddine; Kretschmer, Roland; Egyed, Alexander

doi:10.1145/3239372.3239380

Cited by 12 publications

(2 citation statements)

References 36 publications

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“…Co-evolution is a hot topic in software engineering. Multiple approaches addressed co-evolution of various artifacts, such as models [18], [19], [20], [21], [22], [23], [24], [25], constraints [26], [27], [28], [29], [30], model transformations [31], [32], [33], [34], [35], and code [36], [37], [38], [39], [40]. In this section, we present the main related work w.r.t.…”

Section: Related Workmentioning

confidence: 99%

Untangling spaghetti of evolutions in software histories to identify code and test co-evolutions

Dilavrec¹,

Eddine²,

Arnaud³

et al. 2021

Preprint

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Version Control Systems are key elements of modern software development. They provide the history of software systems, serialized as lists of commits. Practitioners may rely on this history to understand and study the evolutions of software systems, including the co-evolution amongst strongly coupled development artifacts such as production code and their tests. However, a precise identification of code and test coevolutions requires practitioners to manually untangle spaghetti of evolutions. In this paper, we propose an automated approach for detecting co-evolutions between code and test, independently of the commit history. The approach creates a sound knowledge base of code and test co-evolutions that practitioners can use for various purposes in their projects. We conducted an empirical study on a curated set of 45 open-source systems having Git histories. Our approach exhibits a precision of 100 % and an underestimated recall of 37.5 % in detecting the code and test coevolutions. Our approach also spotted different kinds of code and test co-evolutions, including some of those researchers manually identified in previous work.

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Section: Related Workmentioning

confidence: 99%

Untangling spaghetti of evolutions in software histories to identify code and test co-evolutions

Dilavrec¹,

Eddine²,

Arnaud³

et al. 2021

Preprint

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“…In addition, they define links, which enable to perform and customize the traceability information between the metamodel elements. Furthermore, the approach in Khellad et al [20] proposes a change propagation-based coevolution of transformations. The premise is that knowledge of the metamodel evolution can be propagated by means of resolutions to drive the transformation coevolution.…”

Section: Related Workmentioning

confidence: 99%

Traceability and Synchronization Between BPMN and UML Use Case Models

Bouzidi¹,

Haddar²,

Haddar³

2019

ISI

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The purpose of this paper is to ensure and maintain the alignment between business modeling and requirement elicitation. To do this, we propose an approach that combines the strengths of traceability and model transformations to bridge the gap between BPMN model and the UML use Case models in particular, we propose an intermediate integrated model (BPSUC), and bidirectional transformation rules between the use case and BPMN models into the BPSUC and vice versa. We have implemented an editor to design and visualize BPSUC, and ATL transformation rules to carry out transformation and have successfully tested our approach on a case study, and evaluation criteria. The engineers and the business design can use BPSUC to work together in a single integrated diagram as well as they can synchronize their initial model through the bidirectional model transformations.

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