教学课程资源库 更多>>

关键词： Continuous integration   Regression testing   Test case prioritization   Long short-term memory  

摘要： Continuous integration (CI) software development practice has become more and more popular. Regression testing occurs very frequently in CI. Test case suites constantly change since new test cases are inserted and obsolete test case are removed in each cycle. The software developer hunts for quick-feedback of faults because of time constraint. An embedded software usually includes the spatial-temporal data in CI. The efficiency of regression testing for the embedded software is related to the space-time. To achieve ideal regression testing goals for the embedded software in CI, this paper proposes a novel test case prioritization approach using LSTM-Based (Long short-term memory) deep learning. LSTM is a time series prediction model. It can predict the probability of each test case detection fault in the next cycle according to the testing history information of all the previous CI cycles. The priority of test case can be obtained dynamically under the guidance of the probability. The experiments are conducted on two industrial data sets. The results verify that compared with some exiting test case prioritization approaches, our approach has better performance for embedded software as follows: (1) improve the prioritization effectiveness, (2) increase the fault detection rate in CI environment, and (3) decrease the testing execution time through automatic reduction the obsolete test cases.

关键词： Artificial neural network   Evolutionary algorithms   Neural science   Soft computing   Software testing   Stochastic diffusion search   Test cases   Test oracle  

摘要： Software testing has its main goal as designing new test case sets in a manner in which it is able to depict its maximum faults. As soon as these test cases have been designed, Oracle software provides a method in which the software has to behave for a particular test case given. Prioritization of such test cases with the execution of their components specifying inputs, their operation and their outcome will determine as to whether the application and their properties are working in the right manner. The prioritization methods are as follows: initial ordering, random ordering and finally reverse ordering that were based on fault detection abilities. For developing software applications, a test suite that was less commonly known as the suite for checking the validity of software was employed. The test suite contained a detailed set of instructions and goals for each test case collection based on the system and its configuration used during testing. Automating the generation of a test case and test oracle was researched in an extensive manner. From among the automated test oracle, the artificial neural network (ANN) was used extensively but with a high cost of computation. This work proposed a weight optimized ANN using stochastic diffusion search to find the optimal weights with a unique fitness function such that computational time is reduced and misclassification rate reduced. [ABSTRACT FROM AUTHOR]

关键词： 软件测试   新技术   应用   发展  

摘要： 随着软件开发技术的发展和软件系统规模的不断扩大,传统的软件测试技术已经很难适应新的需求,造成了许多软件缺陷的漏测,影响了软件产品的质量。在此背景下,各大软件企业纷纷探索新的软件测试方法,并取得了许多成果,进一步丰富了软件测试技术的内涵。本文对近几年发展起来的软件测试新技术进行了总结分析,以期为软件行业的发展提供一个全新的视角。

关键词： Project management   Software testing process   Dynamic programming   Continuous time stochastic optimal control   Optimal software testing and release  

摘要： This paper studies a joint selection of test cases and release problem for a software under test with predetermined classes of test cases and release time deadline. The software test manager can make three alternative choices dynamically during software testing progress before the deadline: continue testing and select a class of test cases, release the software, or scrap the software, with the objective of minimizing the cumulative testing cost plus penalty cost after releasing or scrapping the software. We formulate the problem as a continuous time stochastic control model and provide a mathematically rigorous method to establish the concavity of the optimal cost function. Based on this property, we are able to characterize that the optimal release policy has a threshold structure. Moreover, the thresholds are founded to be monotone in the residual time length in the case of homogeneous release cost. Besides, we put forward a method based on low convex envelope and discover that the optimal selection policy also has a threshold or other simple structure, if the running cost or the removal cost is the same for all classes. Finally, we present an approximation algorithm of computing the optimal cost function, by which some numerical examples are studied to justify our theoretical results and the robustness of our policy. We also conduct a case study to compare our dynamic selection and release testing policy with two other commonly used testing policies and find that our policy is the best in most instances. (C) 2019 Elsevier B.V. All rights reserved.

关键词： 软件测试   教学改革   教学平台   软件测评师  

摘要： 根据曲靖师范学院软件工程专业“软件测试技术与实践”课程的教学现状,考虑“教学-考证-比赛”三位一体的教学模式,文章从教学方法、教学平台、教学内容和师资队伍4个方面探索课程的教学改革,从而提高课程的教学效果。

关键词： 概念格   形式概念   软件测试   软件质量  

摘要： 本文结合形式概念分析方法,基于Python编程语言设计一种自顶向下的概念格构造算法。通过构造概念格,分析各软件与各测试流程结果属性之间存在的二元关系,在所有测试流程结束后,得到一个软件质量综合评价信息。通过该信息,可以更全面更有效地对软件测试结果进行评估,在所有测试对象中可以将质量较高与较低的软件分类,同时可以获取不同软件在不同测试流程中的总体情况。

关键词： 云计算   软件测试   自动化   技术研究  

摘要： 在软件测试领域发展过程之中,软件测试自动化始终是一个极为重要的话题,通过不断研究云计算技术的应用,以虚拟技术为基础,构建一个用于云测试的平台,在虚拟机中针对测试环境进行部署,由此实现自动化测试的效果。本文简要分析在云计算环境之下如何有效使用软件测试自动化技术,希望由此能为软件测试领域的发展提供一些经验层面的参考。

关键词： 软件测试   实训系统   游戏化学习  

摘要： 为了增强高校学生的软件测试技能,提升学生对软件测试技术的学习兴趣,开发了一个游戏化的软件测试实训系统。该系统支持对黑盒测试、白盒测试和缺陷修复的实训,为学生提供个性化指导和实时反馈,减轻了教师的负担。系统将实训内容与游戏机制相融合,提升了学生的学习兴趣。详述了系统的设计、实现与游戏评分标准,总结了系统在软件测试教学中的应用成效。

关键词： 文创商域网站   SSM框架   软件测试  

摘要： 设计开发的文创商域网站具有文化社区讨论、分享、文创商品购买、在线阅读书籍、产品问题处理、产品使用分享等功能。前端采用HTML5,CSS3,JavaScript,VUE,Element UI,SSM框架,MySQL数据库技术,开发效率高、可维护性强、可扩展性好。在性能测试和功能测试中,系统的功能满足需求,压力满足高并发需求,应用性良好。

关键词： 超几何分布   软件测试   软件工程   BUG   软件可靠度  

摘要： 在概率论中,存在不同的概率分布。每一种分布都有其自身的优点,每一种分布都有适用的场景。当我们遇到问题需要建立概率分布模型时,要具体问题具体分析。超几何分布就是其中一种概率分布。软件测试是现代生活中非常重要的一个领域。一款我们即将使用的软件,只有经过测试,并且测试结果是合格的,我们才能够放心地去使用它。我们在得到软件可靠度的过程中,需要用超几何分布来建立模型,近似地拟合出结果,通过结果,对软件中存在的不可靠的地方进行修复完善。在以后的研究过程中,我们可以通过做实验,把软件测试的过程,以及超几何分布建模的过程,实现出来,真实地去得到一款软件的软件可靠度。