Model-Based Testing Using System vs. Test Models - What Is the Difference?

Malik, Qaisar A.; Jääskeläinen, Antti; Virtanen, Heikki; Katara, Mika; Abbors, Fredrik; Truşcan, Dragoş; Lilius, Johan

doi:10.1109/ecbs.2010.41

Cited by 9 publications

(5 citation statements)

References 6 publications

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“…An RCA prototype has been developed in C++ for Windows operating systems and integrated into a telecommunication case study which involved testing the functional features of a Mobile Switching Server, a network element which keeps track of mobile subscribers and connects calls over cellular networks [11,16]. Data retrieved by RCA from the case study tool chain consisted of 1) a UML system model of the SUT, 2) state machine models, 3) a test plan which specifies the generated test cases, 4) test execution logs, and 5) packet captures of message traffic between test executing software and the SUT.…”

Section: Rca Analysis Implementation and Case Studymentioning

confidence: 99%

“…The use of online testing can bring on several advantages in handling multiple expected output states [11] and achieving complex and intricate test cases [3]. The RCA design is based on the LDMS software, which has previously been used to analyze and react on real-time event input using a similar rule-based design [15].…”

Section: Rca Analysis Implementation and Case Studymentioning

confidence: 99%

“…This complexity along with growing volumes of data often makes manual analysis infeasible [10]. The use of MBT poses an additional challenge for this kind of error locating process, as faults may reside in different tool chain components and test data, such as the SUT, the system model, or the test executing software [11].…”

Section: Introductionmentioning

confidence: 99%

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Adaptable Design for Root Cause Analysis of a Model-Based Software Testing Process

Nieminen

Räty

2015

2015 12th International Conference on Information Technology - New Generations

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Model-Based Testing (MBT) is a method for automating software testing and improving fault detection by using an abstracted model of the system under test to systematically generate and execute test cases. One of the main challenges in MBT is the efficient locating of fundamental causes of errors, which can be achieved using root cause analysis. As MBT is being applied to many diverse domains using various tools and tool chains, tool adaptability is an important factor to consider. We define the design for an automated Root Cause Analyzer (RCA) tool adaptable for different MBT testing scenarios and environments. In our RCA design, analysis is configured using rules for evaluating output data of other MBT components. We present an example of RCA application for a case study in mobile telecommunications testing to demonstrate the integration and adapting of our design into an existing tool chain. Within the case study, the RCA tool is successful in locating causes of errors, and is able to interface with MBT components and exploit their data in analysis. The research is based on the constructive method of the related publications and technologies and the results are derived by the implemented RCA tool.

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Section: Rca Analysis Implementation and Case Studymentioning

confidence: 99%

Section: Rca Analysis Implementation and Case Studymentioning

confidence: 99%

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Adaptable Design for Root Cause Analysis of a Model-Based Software Testing Process

Nieminen

Räty

2015

2015 12th International Conference on Information Technology - New Generations

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“…Regarding terminology, a distinction is made between system models and test models in the literature (Malik 2010;Weißleder and Lackner 2010). System models describe internal behavior of the system Malik 2010 and they are used for system creation (Weißleder and Lackner 2010), whereas test models define the interaction of the system with the user/ environment (Malik 2010) and they are used for test case description/generation (Weißleder and Lackner 2010). From this perspective, models that we employ for MBT can be considered as test models.…”

Section: Introductionmentioning

confidence: 99%

Model-based testing of digital TVs: an industry-as-laboratory approach

Sözer

Gebizli

2016

Software Qual J

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Model-based testing is a promising approach for increasing the efficiency of the testing process and for improving software quality. It has been employed in the industry for more than a decade. Nevertheless, there are still challenges regarding its application in different domains. Some of these challenges are general, while some others are domainspecific. In this paper, we explain our experiences in enhancing model-based testing for its adoption in the consumer electronics domain, in particular for Digital TV systems. We applied the so-called industry-as-laboratory approach to define/refine research problems and evaluate our research results. We summarize these results and provide an evaluation of relevant research problems for our context. We observed that the industry-as-laboratory approach is highly effective for industry-academia collaboration and technology transfer in the scope of model-based software testing.

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“…Every time the chief determination of software testing is to catch flaws and raise the sureness in the system under test (Malik et al, 2010a) by inspection whether the application imitates to the stipulations (Malik et al, 2010b). The customers of software industries are facing numerous challenges for getting their increased business value.…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of Model Based Testing: An Evidence from Pakistan

Nawaz¹,

Butt²,

Nisar³

et al. 2013

RJASET

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This research study investigates the relationship between the use of Model Base Testing (MBT) and organizational performance. MBT is the submission of Model Based Design for scheming and optimally performing the essential objects to achieve software testing. Models can be custom to characterize the anticipated conduct of the System under Test, or to characterize the anticipated testing policies and testing situation. Use of MBT is explored in Pakistani context through discussion of different approaches of MBT. Data has collected through online questionnaires and then frequencies bar charts have been created and used to represent the responses which indicate that the use of MBT increases reliability, effectiveness and organizational performance. But cost reduction is not applicable in Pakistani context due to its introductory stage.

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Model-Based Testing Using System vs. Test Models - What Is the Difference?

Cited by 9 publications

References 6 publications

Adaptable Design for Root Cause Analysis of a Model-Based Software Testing Process

Adaptable Design for Root Cause Analysis of a Model-Based Software Testing Process

Model-based testing of digital TVs: an industry-as-laboratory approach

Effectiveness of Model Based Testing: An Evidence from Pakistan

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