• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권8호
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• pp.2974-2992
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• 2021

Crowd-based outsourcing is an emerging trend in testing, which integrates advantages of crowd-based outsourcing in software testing. Open call format is used to accomplish various network tasks involving different types of testing levels and techniques at various places by software testers. Crowd-sourced software testing can lead to an improper testing process as if it does not allocate the right task to the right crowd with required skills and not choose the right crowd; it can lead to huge results, which become time-consuming and challenging crowd-source manager for the identification of improper one. The primary purpose of this research is to make crowd-based outsourced software testing more effective and reliable by relating association between the software tester, personality characteristic, and different levels of software testing, i.e., unit, integration, and system, in order to find appropriate personality characteristic for required testing level. This research has shown an observed experiment to determine which software testing level suits which personality characteristic tester in a crowd-based software testing environment. A total of 1000 software testers from different software houses and firms in Pakistan were registered to perform tasks at different software testing levels. The Myers-Briggs Type Indicator (MBTI) test is used to identify each tester's personality characteristic involved in this research study.

• International Journal of Contents
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• 제13권1호
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• pp.38-44
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• 2017

Increased use of software and complexity of software functions, as well as shortened software quality evaluation periods, have increased the importance and necessity for automation of software testing. Automating software testing by using machine learning not only minimizes errors in manual testing, but also allows a speedier evaluation. Research on machine learning in automated software testing has so far focused on solving special problems with algorithms, leading to difficulties for the software developers and testers, in applying machine learning to software testing automation. This paper, proposes a new machine learning framework for software testing automation through related studies. To maximize the performance of software testing, we analyzed and categorized the machine learning algorithms applicable to each software test phase, including the diverse data that can be used in the algorithms. We believe that our framework allows software developers or testers to choose a machine learning algorithm suitable for their purpose.

• Journal of Information Technology Applications and Management
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• 제12권2호
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• pp.1-13
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• 2005

This paper proposes a software-reliability growth model incoporating the amount of testing effort expended during the software testing phase after developing it. The time-dependent behavior of testing effort expenditures is described by a Logistic curve. Assuming that the error detection rate to the amount of testing effort spent during the testing phase is proportional to the current error content, a software-reliability growth model is formulated by a nonhomogeneous Poisson process. Using this model the method of data analysis for software reliability measurement is developed. After defining a software reliability, This paper discusses the relations between testing time and reliability and between duration following failure fixing and reliability are studied. SRGM in several literatures has used the exponential curve, Railleigh curve or Weibull curve as an amount of testing effort during software testing phase. However, it might not be appropriate to represent the consumption curve for testing effort by one of already proposed curves in some software development environments. Therefore, this paper shows that a logistic testing-effort function can be adequately expressed as a software development/testing effort curve and that it gives a good predictive capability based on real failure data.

• Journal of Information Processing Systems
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• 제14권3호
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• pp.607-620
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• 2018

The problem surrounding methods of implementing the software testing process has come under the spotlight in recent times. However, as compliance with the software testing process does not necessarily bring with it immediate economic benefits, IT companies need to pursue more aggressive efforts to improve the process, and the software industry needs to makes every effort to improve the software testing process by evaluating the Test Maturity Model integration (TMMi). Furthermore, as the software test process is only at the initial level, high-quality software cannot be guaranteed. This paper applies TMMi model to Automobile control software testing process, including test policy and strategy, test planning, test monitoring and control, test design and execution, and test environment goal. The results suggest improvement of the automobile control software testing process based on Test maturity model. As a result, this study suggest IT organization's test process improve method.

• 대한임베디드공학회논문지
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• 제4권4호
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• pp.156-163
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• 2009

Recently a standard software platform for automotive, AUTOSAR, has been developed to manage growing software complexity and improve software reuseability. However reuse of testing system and test data are difficult because they are dependant on implementation language and testing phases. In this paper, we suggest a automated testing approach for AUTOSAR software component using a standardized testing language, TTCN-3. AUTOSAR defines the AUTOSAR XML Schema for the data exchange format so that it is possible to automatically convert AUTOSAR model into TTCN-3 testing model. Therefore our approach is to present generation techniques for the TTCN-3 testing system from a AUTOSAR XML description. With the proposed testing techniques we can reduce time and effort to build the testing system and reuse testing environment.

• 품질경영학회지
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• 제29권4호
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• pp.92-102
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• 2001

Software testing during development and operation should exercise to obtain the desired software quality and leave failure data set. So far, many software reliability models are classified and can be used to measure a software reliability only based on its failure history But, in practice, developers or testers of software systems must decide which existing software reliability model can be fitted. In this paper, we will show that an appropriate reliability model can be selected by considering relations between characteristics of each testing environment and models' assumptions. Several methods of software testing are presented and discussed. Also, unit test, integrated test, function test and system test that are sequentially exercised during development will be introduced.

• 대한임베디드공학회논문지
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• 제7권1호
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• pp.17-24
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• 2012

Recently automotive software has been more complex and needs to be reduced its development time. Software testing of its functionalities and performance should be conducted in an early development phase to reduce time to market and the development cost. Software functional testing can be performed through simulating the hardware, but it is not guaranteed that evaluation of real-time performance using simulation has enough accuracy. Real-time performance can be precisely evaluated with hardware-in-the-loop simulation, but it costs time and effort to set up hardware for testing. In this paper, we suggest a testing system that can evaluate functional requirements and real time properties with a general-purpose development board in the early development phase. In addition, we improve reusability of the testing system through modularized and layered architecture. With the proposed testing system we can contribute to building reliable testing system at low cost without difficulty.

• Journal of Information Processing Systems
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• 제15권6호
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• pp.1462-1471
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• 2019

Real-time embedded systems have become pervasive in general industry. They also began to be applied in such domains as avionics, automotive, aerospace, healthcare, and industrial Internet. However, the system failure of such domains could result in catastrophic consequences. Runtime software testing is required in such domains that demands very high accuracy. Traditional runtime software testing based on handwork is very inefficient and time consuming. Hence, test automation methodologies in runtime is demanding. In this paper, we introduce a software testing system that translates a real-time software into a monitorable real-time software. The monitorable real-time software means the software provides the monitoring information in runtime. The monitoring target are time constraints of the input real-time software. We anticipate that our system lessens the burden of runtime software testing.

• 한국정보과학회논문지:소프트웨어및응용
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• 제35권5호
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• pp.288-296
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• 2008

국방 분야의 소프트웨어는 해당 도메인의 특성상 높은 수준의 품질을 요한다. 이를 보장하기 위해서는 잘 정의된 프로세스를 기반으로 하는 개발 및 시험 활동들이 이루어져야 한다. 소프트웨어 획득 과정에서 이들 활동들이 뒷받침되지 못하면 획득된 소프트웨어의 품질이 낮고, 군의 전투력이 저하된다. 본 논문에서는 시험 프로세스 개선을 통해 국방 소프트웨어의 품질을 향상하기 위한 국방 시험 성숙도 모델(MND-TMM: Ministry of National Defense-Testing Maturity Model)을 제안하고 설계된 내용을 소개한다. MND-TMM은 국방 도메인에서 시험과 관련된 문제점을 해결하기 위해 국방 소프트웨어, 국방 소프트웨어 개발 프로세스, 국방 소프트웨어 시험 프로세스를 반영하여 구성되었다. MND-TMM은 5개의 수준의 성숙도와 4개의 범주로 구성되며 각 범주에는 관련 시험 프로세스 영역(TPA: Testing Process Area)들이 포함된다. MND-TMM은 국방 소프트웨어 조직의 시험 성숙도를 평가하는 것을 돕고 소프트웨어 테스팅 프로세스를 개선하기 위한 가이드라인을 제공할 것으로 기대된다.

• 한국정보과학회논문지:소프트웨어및응용
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• 제31권4호
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• pp.394-402
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• 2004

둘 혹은 그 이상의 개체가 협력하거나 통신할 때와 같이 상호 작용할 때 그 상호작용의 올바른 정도를 상호운영성이라고 한다. 소프트웨어에서 상호운영성시험의 필요성은 복수의 소프트웨어 개체를 사용하여 주어진 기능 혹은 임무를 수행하는 시스템을 구축할 때 발생한다. 오늘날 소프트웨어가 더욱더 복잡한 문제를 해결하기 위하여 이용되고 소프트웨어시스템이 네트워크를 통하여 그 기능이 분산되어 더 풍부한 서비스를 제공하게 됨에 따라 상호운영성시험의 중요성은 더욱 더 커지고 있다. 이 논문은 상호운영과 상호운영성시험에 대한 근본적인 개념과 원리를 논의하고, 실제 상호운영성시험을 수행하기 위한 접근방법을 논의함으로써 상호운영성시험을 위한 체계와 방법론을 제공한다.