A UML Activity Flow Graph-Based Regression Testing Approach

Jha, Pragya; Sahu, Madhusmita; Isobe, Takanori

doi:10.3390/app13095379

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…This requires the UML models to be accurate, complete, and consistent. Any errors or inconsistencies in the UML models can lead to incorrect code generation [26]. The literature makes a strong case for the value of constraints specified in OCL at the design level.…”

Section: Literature Reviewmentioning

confidence: 99%

Maximizing Test Coverage for Security Threats Using Optimal Test Data Generation

et al. 2023

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As time continues to advance, the need for robust security threat mitigation has become increasingly vital in software. It is a constant struggle to maximize test coverage through optimal data generation. We conducted explanatory research to maximize test coverage of security requirements as modeled in the structured misuse case description (SMCD). The acceptance test case is designed through the structured misuse case description for mitigation of security threats. Mal activity is designed from SMCD upon which constraints are specified in object constraint language (OCL) in order to minimize human dependency and improve consistency in the optimal test case design. The study compared two state-of-the-art test coverage maximization approaches through optimal test data generation. It was evident through the results that MC/DC generated optimal test data, i.e., n + 1 test conditions in comparison to the decision coverage approach, i.e., 2n test conditions for security threats. Thus, MC/DC resulted in a significantly lower number of test cases yet maximized test coverage of security threats. We, therefore, conclude that MC/DC maximizes test coverage through optimal test data in comparison to decision coverage at the design level for security threat mitigation.

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Section: Literature Reviewmentioning

confidence: 99%

Maximizing Test Coverage for Security Threats Using Optimal Test Data Generation

et al. 2023

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Maximizing test coverage for security threats Using Optimal Test Data Generation

Hussain¹,

Faiz²,

Aljaidi³

et al. 2023

Preprint

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As time continues to advance, the need for robust security threat mitigation has become increasingly vital in software. However, ensuring early effective security threat mitigation requires optimal test data and consistent test case design. It is a constant struggle to maximize test coverage through test data optimization. We conducted explanatory research to maximize test coverage of security requirements as modeled in Structured Misuse Case Description (SMCD) i.e., structured specification of misuse case, so as to improve consistency in optimal test data generation. We specified constraints upon Mal activity in Object Constraint Language (OCL) in order to minimize human dependency and improve consistency in optimal test data generation. It was evident through results that MC/DC generated optimal test data of security threats through SMCD in comparison to the Decision Coverage method thus resulting in designing a significantly lower number of test cases and yet maximizing test coverage of security threats. MC/DC generated test data with n+1, while Decision Coverage generated test data with〖 2〗^n, we, therefore, conclude that MC/DC maximizes test coverage through optimal test data from SMCD in comparison to Decision Coverage.

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Development of a Virtual Reality-Based Environment for Telerehabilitation

Covaciu,

Vaida,

Gherman

et al. 2024

Applied Sciences

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The paper presents an innovative virtual reality (VR)-based environment for personalized telerehabilitation programs. This environment integrates a parallel robotic structure designed for the lower limb rehabilitation of patients with neuromotor disabilities and a virtual patient. The robotic structure is controlled via a user interface (UI) that communicates with the VR environment via the TCP/IP protocol. The robotic structure can also be operated using two controllers that communicate with a VR headset via the Bluetooth protocol. Through these two controllers, the therapist demonstrates to the patient various exercises that the robotic system can perform. With the right-hand controller, the therapist guides exercises for the hip and knee, while the left-hand controller manages ankle exercises. The therapist remotely designs a rehabilitation plan for patients at home, defining exercises, interacting with the rehabilitation robot in real-time via the VR headset and the two controllers, and initiating therapy sessions. The user interface allows monitoring of patient progress through video feedback, electromyography (EMG) sensors, and session recording.

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A UML Activity Flow Graph-Based Regression Testing Approach

Cited by 3 publications

References 17 publications

Maximizing Test Coverage for Security Threats Using Optimal Test Data Generation

Maximizing Test Coverage for Security Threats Using Optimal Test Data Generation

Maximizing test coverage for security threats Using Optimal Test Data Generation

Development of a Virtual Reality-Based Environment for Telerehabilitation

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