A Framework for the Regression Testing of Model-to-Model Transformations
Jun 01, 2021
DOI: 10.37190/e-Inf210104
Published in: e-Informatica Software Engineering Journal
Publisher: Wroclaw University of Technology
Background: Model transformations play a key role in Model-Driven Engineering (MDE). Testing model transformation is an important activity to ensure the quality and correctness of the generated models. However, during the evolution and maintenance of these model transformation programs, frequently testing them by running a large number of test cases can be costly. Regression test selection is a form of testing, which selects tests from an existing test suite to test a modified program. Aim: The aim of the paper is to present a test selection approach for the regression testing of model transformations. The selected test case suite should be smaller in size than the full test suite, thereby reducing the testing overhead, while at the same time the fault detection capability of the full test suite should not be compromised. Method: approach is based on the use of a traceability mapping of test cases with their corresponding rules to select the affected test items. The approach is complemented with a tool that automates the proposed process. Results: Our experiments show that the proposed approach succeeds in reducing the size of the selected test case suite, and hence its execution time, while not compromising the fault detection capability of the full test suite. Conclusion: The experimental results confirm that our regression test selection approach is cost-effective compared to a retest strategy.
Other Researches
Efficient resource planning is recognized as one of the key enablers making the large-scale deployment of next-generation wireless networks available for mass usage. Modelling, planning, and software simulation tools reduce both the time needed and ...
Vaccination is recognized as one of crucial measures in battle against COVID-19, contributing to both the reduction of its negative impact on infected person and overall spread reduction. In this paper, we focus on adoption of model-driven approach ...
Model-Driven Approach to Smart Grid Stability Prediction in Neo4j
Stability is of utmost importance when it comes to smart grid infrastructures. Dramatic parameter variations and fluctuations can lead to wrong decisions, which could lead to fatal consequences. In this paper, we propose a model-driven methodology f...
A Utility to Transform CSV Data into EMF
With the era of data evolution, enterprises increasingly depend on data utilization tools to import or export data from various data sources. Traditionally, enterprises archive such data into row formats, commonly in CSV files. The flat representati...
A Model-Driven Approach for Solving the Software Component Allocation Problem
The underlying infrastructure paradigms behind the novel usage scenarios and services are becoming increasingly complex—from everyday life in smart cities to industrial environments. Both the number of devices involved and their heterogeneity make t...
Model-driven multi-objective optimization approach to 6G network planning
Ultra high-speed and reliable next-generation 6G mobile networks are recognized as key enablers for many innovative scenarios in smart cities – from vehicular use cases and surveillance to healthcare. However, deployment of such network requires tre...
Test case prioritization for model transformations
The application of model transformations is a critical component in Model-Driven Engineering (MDE). To ensure the correctness of the generated models, these model transformations need to be extensively tested. However, during the regression testing ...
Meta-Heuristics for Solving the Software Component Allocation Problem
The software component allocation problem is concerned with mapping a set of software components to the computational units available in a heterogeneous computing system while maximizing a certain objective function. This problem is important in the...
Extending UML Use Case Diagrams to Represent Non-Interactive Functional Requirements
Background: The comprehensive representation of functional requirements is a crucial activity in the analysis phase of the software development life cycle. Representation of a complete set of functional requirements helps in tracing business goals e...
On Utilizing Model Transformation for the Performance Analysis of Queueing Networks
In this paper, we present an approach for model transformation from Queueing Network Models (QNMs) into Queueing Petri Nets (QPNs). The performance of QPNs can be analyzed using a powerful simulation engine, SimQPN, designed to exploit the knowledge...
We extend an approach to component allocation on heterogeneous embedded systems using Coloured Petri Nets (CPNs). We improve the CPN model for the embedded systems and outline a technique that exploits CPN Tools, a well-known CPN tool, to efficientl...
ATL Transformation of Queueing Networks to Queueing Petri Nets
This paper presents an approach for model transformation from Queueing Network Models (QNMs) into Queueing Petri Nets (QPNs). This would open up the benefits of QPNs in analyzing the performance of QNMs. We present meta...
Model-to-Model based Approach for Software Component Allocation in Embedded Systems
Due to the popularity and heterogeneity of embedded systems, the problem of software component (SW-component) allocation in such systems is receiving increasing attention. Addressing this problem using a graphical modeling language s...
Server consolidation for heterogeneous computer clusters using Colored Petri Nets and CPN Tools
In this paper, we present a new approach to server consolidation in heterogeneous computer clusters using Colored Petri Nets (CPNs). Server consolidation aims to reduce energy costs and improve resource utilization by reducing the number of servers ...