• Journal of KIISE:Software and Applications
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• v.36 no.1
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• pp.45-53
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• 2009

In these days GUI components are recognized as the important driving elements to the successful software development. Thus they must be verified. In practice, however, GUI testing for verifying the GUI components needs lots of time and high costs. Test automation for GUI testing is a promising solution to save those expenses. In this paper, we discuss some issues considered to perform GUI testing and suggest a new method that improve the GUI test case generation method based on our previous 'record & playback' approach. For this, we suggest the event generation method using the 'spy' technique and the scenario generation method that generates effectively a lot of scenarios with the generated events. In turn we describe how to create GUI test cases from the generated scenarios.

• The KIPS Transactions:PartD
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• v.17D no.1
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• pp.41-52
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• 2010

A relation between generated test cases and an original requirement is important, but it becomes very complex because a relation between requirement models and requirements are m-to-n in automatic test case generation based on models. In this paper, I suggest automatic generation technique for REED (REquirement EDitor), 1-to-1 requirement modeling tool. Test cases are generated though 3 steps, Coverage Target Generation, IORT (Input Output Relation Tree)Generation, and Test Cases Generation. All these steps are running automatically. The generated test cases can be generated from a single requirement. As a result of applying to three real commercial systems, there are 5566 test cases for the Temperature Controller, 3757 test cases for Bus Card Terminal, and 4611 test cases for Excavator Controller.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.8
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• pp.401-410
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• 2017

This paper proposes a method to generate test cases in an automatic manner, based on checklist containing test cases used for testing embedded systems. In general, the items to be tested are defined in a checklist. However, most test case generation strategies recommend to test a system with not only the defined test items but also various mutated test conditions. The proposed method parses checklist in Korean file and figures out the system inputs and outputs, and operation information. With the found information and the user defined test case generation strategy, the test cases are automatically generated. With the proposed method, the errors introduced during manual test case generation may be reduced and various test cases not defined in checklist can be generated. The proposed method is implemented and the experiment is performed with the checklist for an medical embedded system. The feasibility of the proposed method is shown through the test cases generated from the checklist. The test cases are adequate to the coverages and their statistics are correct.

• Journal of Advanced Navigation Technology
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• v.27 no.2
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• pp.228-234
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• 2023

As the increasing demand for high-quality software, there is huge requiring for quality certification of international standards, industrial functional safety (IEC 61508), automotive (ISO 26262), embedded software guidelines for weapon systems, etc., in the industry. Software companies are very difficult to systematically acquire the quality certification in terms of cost and manpower of Startup, venture small-sized companies. For their companies one test case automatic generation is considered as a core technique to evaluate or improve software quality. This paper proposes a test case automatic generation method based on the design decision table for system and software design verification. We apply the proposed method with OMG's standard techniques of metamodel and model transformation for automatically generating test cases. To do this, we design the metamodels of design decision table (Model) and test case document (Text) and define model transformation to automatically generate test cases, which will expect to easily work MC/DC coverage.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.603-606
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• 2004

Automatic test case generation for testing an embedded software is considered. Existing tools for test case generation such as finite state machine or mutant test usually adopt top down approach and depend upon graphical transition and decision table, which makes it difficult to find out where the bugs exist. Also it is hard to describe the special features of embedded systems such as concurrent execution of individual components. Most of embedded systems interacts with the real world, receiving signals through sensors or switches and sending output signals to actuators that somehow manipulate the environment. Embedded software controls the entire system based on the logics such as interpreting the sensor inputs and making the actuators to start or stop their intended operation. This study proposes an automatic test case generation procedure that tests the system starting from the control logics of sensors, switches and actuators and then their concurrent execution controls, and finally the entire system operation. Such a stepwise approach makes it easy to generate test cases to tell where the bugs of embedded software exist.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06a
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• pp.62-63
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• 2008

• ETRI Journal
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• v.19 no.4
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• pp.363-388
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• 1997

This paper describes a research result on automatic generation of abstract test cases from formal specifications by applying many related algorithms and techniques such as the testing framework, rural Chinese postman tour and unique input output sequence concepts. In addition, an efficient algorithm for verifying the strong connectivity of the reference finite state machine and the concept of unique event sequence are explained. We made use of several techniques to from an integrated framework for abstract test case generation from LOTOS and SDL specifications. A prototype of the proposed framework has been built with special attention to real protocol in order to generate the executable test cases in an automatic way. The abstract test cases in tree and tabular combined notation (TTCN) language will be applied to the TTCN compiler in order to obtain the executable test cases which re relevant to the industrial application.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.8
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• pp.385-390
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• 2017

Because of the ever-increasing software complexity, model-based development techniques are becoming an essential technique in software development. However, even if model-based techniques are used, the test case generation for complex software is still a challenge to solve. In this paper, we propose a method to generate automatic test cases based on UML model using custom parser and SMT solver. By proposed technique, a test case can be generated even though the model is described in a platform independent language such as action language, or in a platform dependent language. In addition, a concolic execution technique is applied to efficiently generate test cases in the model. In this paper, we present a case study on the power window switch model of Hyundai Santa Fe through the proposed test case generation technique.

• The Transactions of the Korea Information Processing Society
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• v.6 no.11
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• pp.3070-3076
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• 1999

Petri net is one of the effective modeling techniques which analyzes and designs concurrent and asynchronous systems. CPN is an extended Petri net which has color tokens. In this paper, we propose a new test case generation method using CPN. It transforms Estelle Specification into CPN, which is applicable to Design/CPN. It also generates UIO and subtour from OG and descriptor, which are resulted from Design/CPN. Using the proposed method, we can get more improved test coverage than existing methods. Therefore, more effective protocol conformance testing could be conducted. The test case generating method will be the basis of the automatic testing environmented.

• MALSORI
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• no.61
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• pp.101-111
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• 2007

A modified speech recogniser have been proposed for automatic capitalisation generation to improve the readability of English speech recognition output. In this modified speech recogniser, every word in its vocabulary is duplicated: once in a de-caplitalised form and again in the capitalised forms. In addition its language model is re-trained on mixed case texts. In order to evaluate the performance of the proposed system, experiments of automatic capitalisation generation were performed for 3 hours of Broadcast News(BN) test data using the modified HTK BN transcription system. The proposed system produced an F-measure of 0.7317 for automatic capitalisation generation with an SER of 48.55, a precision of 0.7736 and a recall of 0.6942.