Combinatorial Testing for an Automotive Hybrid Electric Vehicle Control System: A Case Study

Dhadyalla, Gunwant; Kumari, Neelu; Snell, Timothy

doi:10.1109/icstw.2014.6

Cited by 17 publications

(7 citation statements)

References 16 publications

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“…Another application domain, which incorporates many devices from various producers and may be safety-critical, is automotive systems. CT is increasingly being used by automobile manufacturers to detect bugs that may arise when components from many suppliers are installed to provide the many features of modern cars [40][41][42].…”

Section: Combinatorial Testingmentioning

confidence: 99%

“…It has been recognized that IoT and cyberphysical systems may be significantly harder to test and evaluate than systems running on a single platform, because of the interactions among components [13,41,67]. This problem is particularly acute for security, because the potentially unpredictable interactions increase the attack surface [67,68].…”

Section: Comparison To Random Testingmentioning

confidence: 99%

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Combinatorial methods for testing Internet of Things smart home systems

Garn

Schreiber

Simos

et al. 2021

Software Testing Verif & Rel

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In this paper, we report on applying combinatorial testing to Internet of Things (IoT) home automation hub systems. We detail how to create a dedicated input parameter model of an IoT home automation hub system for use with combinatorial test case generation strategies. Further, we developed an automated test execution framework and two test oracles for evaluation purposes. We applied and evaluated our proposed methodological approach to a real-world IoT system and analysed the obtained results of various combinatorial test sets with different properties generated based on the derived input model. Additionally, we compare these results to a random testing approach. Our empirical testing evaluations revealed multiple errors in the tested devices and also showed that all considered approaches performed nearly equally well. K E Y W O R D S combinatorial testing, IoT, software testingThis includes, but is not limited to, the Internet.

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Section: Combinatorial Testingmentioning

confidence: 99%

Section: Comparison To Random Testingmentioning

confidence: 99%

Combinatorial methods for testing Internet of Things smart home systems

Garn

Schreiber

Simos

et al. 2021

Software Testing Verif & Rel

View full text Add to dashboard Cite

show abstract

“…A structured modelling method [26] used to translate requirements expressed in a general format into an input parameter model suitable for combination strategies. A number of Articles [27][28][29][30][31][32][33][34][35][36][37][38][39] have been presented for testing embedded systems using combinatorial methods in the literature for testing distributed embedded systems.…”

Section: A Combinatorial Testingmentioning

confidence: 99%

Enhancing Acceptance Test Driven Development Model with Combinatorial Logic

Tatale¹,

Prakash²

2020

IJACSA

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In the Software Development Life Cycle, modelling plays a most significant role in designing and developing software efficiently. Acceptance Test-Driven Development (ATDD) is a powerful agile software development model where a customer provides user acceptance test suits as a part of Software Requirements Specifications. A design has to develop a system so that User Acceptance Tests will be successful. In some systems, the Combinatorial Logic and Combinatorial Testing play a very crucial role. The authors have proposed a novel approach to enhance the existing Acceptance Test Driven Development model to Combinatorial Logic Oriented-ATDD model by incorporating combinatorial logic. Refinement with respect to combinatorial logic needs to be incorporated in all the stages of Software Development Life Cycle, i.e. starting from Software Requirement Specifications to User Acceptance Tests. This comprehensive approach derives the acceptance tests from user requirements effectively and efficiently. In this paper, the existing Indian Railway Reservation System is considered as a case study, and it was fully implemented as per proposed Combinatorial Logic Oriented-ATDD model.

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“…Secondly, answering this research question helps identify test issues that need to be addressed by the verification strategy to enhance the current approach to test the distributed software functions. Motivation: As presented in Section 1.1, the automotive industry today is facing a challenge of inability, in terms of inadequate resources and time, to perform exhaustive software testing [12] on one hand and test gaps and test redundancies due to the current ad-hoc test approach on the other [16]. Hence, the need in the industry is for a verification strategy that not just helps in solving the challenges at hand, but also one that would help to do so in an effective and feasible manner.…”

Section: Rq3mentioning

confidence: 99%

“…However, it is not feasible since projects within the automotive industry neither have infinite resources nor have the time to carry out such exhaustive testing [12]. On the other hand, going by the traditional approach of implementing an ad-hoc selection of test scenarios based on the tester's experience and expertise can lead to test gaps and test redundancies across the different test levels [16]. Hence, there is a pressing need within the automotive industry for a feasible and effective verification strategy for testing distributed software functions at the vehicle integration test level that would help achieve adequate test coverage while reducing test redundancies and test gaps across the test levels.…”

Section: Chapter 1 Introductionmentioning

confidence: 99%

An Effective Verification Strategy for Testing Distributed Automotive Embedded Software Functions: A Case Study

Chunduri

Feldt

Adenmark

2016

Product-Focused Software Process Improvement

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Context. The share and importance of software within automotive vehicles is growing steadily. Most functionalities in modern vehicles, especially safety related functions like advanced emergency braking, are controlled by software. A complex and common phenomenon in today's automotive vehicles is the distribution of such software functions across several Electronic Control Units (ECUs) and consequently across several ECU system software modules. As a result, integration testing of these distributed software functions has been found to be a challenge. The automotive industry neither has infinite resources, nor has the time to carry out exhaustive testing of these functions. On the other hand, the traditional approach of implementing an ad-hoc selection of test scenarios based on the tester's experience, can lead to test gaps and test redundancies. Hence, there is a pressing need within the automotive industry for a feasible and effective verification strategy for testing distributed software functions. Objectives. Firstly, to identify the current approach used to test the distributed automotive embedded software functions in literature and in a case company. Secondly, propose and validate a feasible and effective verification strategy for testing the distributed software functions that would help improve test coverage while reducing test redundancies and test gaps. Methods. To accomplish the objectives, a case study was conducted at Scania CV AB, Södertälje, Sweden. One of the data collection methods was through conducting interviews of different employees involved in the software testing activities. Based on the research objectives, an interview questionnaire with open-ended and close-ended questions has been used. Apart from interviews, data from relevant artifacts in databases and archived documents has been used to achieve data triangulation. Moreover, to further strengthen the validity of the results obtained, adequate literature support has been presented throughout. Towards the end, a verification strategy has been proposed and validated using existing historical data at Scania. Conclusions. The proposed verification strategy to test distributed automotive embedded software functions has given promising results by providing means to identify test gaps and test redundancies. It helps establish an effective and feasible approach to capture function test coverage information that helps enhance the effectiveness of integration testing of the distributed software functions.

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Combinatorial Testing for an Automotive Hybrid Electric Vehicle Control System: A Case Study

Cited by 17 publications

References 16 publications

Combinatorial methods for testing Internet of Things smart home systems

Combinatorial methods for testing Internet of Things smart home systems

Enhancing Acceptance Test Driven Development Model with Combinatorial Logic

An Effective Verification Strategy for Testing Distributed Automotive Embedded Software Functions: A Case Study

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