Collaborative Research: SHF: Medium: A General Framework for Automated Test Transfer

合作研究：SHF：Medium：自动化测试传输的通用框架

• 批准号: 2107125
• 负责人: Alessandro Orso
• 金额: $ 40万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2107125&HistoricalAwards=false
• 关键词: Collaborative; Research; SHF; Medium; General

Because software is increasingly prevalent in day-to-day life, it is extremely important to ensure its quality. Among the various techniques used to assess and improve the quality of software, testing is by far the most used. Unfortunately, writing tests is a tedious and time-consuming task that is often performed manually and mostly from scratch for every new application developed. In fact, whereas it is common practice to reuse code in modern software engineering, test reuse has been mostly neglected. Testing could greatly benefit from the fact that many software applications share functionality, and test cases for many of these applications are readily available, although in need of adaptation to be transferred to different test scenarios.To tap into this potential, this project is advancing software testing by enabling test transfer: automated reuse of User Interface (UI) tests across systems that share at least part of their functionality. While the initial focus of the project is on mobile and web applications, its ultimate goal is to develop a modular framework that can be extended to support additional types of software. This project promises to advance automated testing on multiple fronts. First, by employing various analysis techniques to identify conceptually similar UI elements across apps, test transfer is intended to enable the reuse of test inputs that are otherwise difficult to produce automatically. Second, by migrating tests written for similar features, test transfer is intended to produce tests that target meaningful use cases. Third, test transfer is intended to produce tests with sophisticated oracles, that is, checks of test outcomes, distinguishing it from most prior automated testing techniques that only focus on crashes. The techniques, tools, and datasets developed within the project are being made openly available to the public to benefit the community. The project findings are also being integrated into the on-campus and online curricula of the participating institutions.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

由于软件在日常生活中越来越普遍，因此确保其质量至关重要。在用于评估和提高软件质量的各种技术中，测试是迄今为止使用最多的。不幸的是，编写测试是一项乏味且耗时的任务，通常需要手动执行，并且对于每个新开发的应用程序，大多数情况下都是从头开始。事实上，尽管在现代软件工程中重用代码是常见的做法，但测试重用却被大多数人忽视了。许多软件应用程序共享功能，测试用例可以很容易地获得，尽管需要调整以转移到不同的测试场景。为了挖掘这一潜力，该项目正在通过启用测试转移来推进软件测试：在共享至少部分功能的系统之间自动重用用户界面（UI）测试。虽然该项目最初的重点是移动的和Web应用程序，但其最终目标是开发一个模块化框架，可以扩展以支持其他类型的软件。该项目有望在多个方面推进自动化测试。首先，通过采用各种分析技术来识别跨应用程序的概念上相似的UI元素，测试传输旨在支持重用难以自动生成的测试输入。第二，通过迁移为相似特性编写的测试，测试迁移旨在生成针对有意义用例的测试。第三，测试迁移的目的是用复杂的预言机生成测试，也就是测试结果的检查，这与大多数只关注崩溃的先前自动化测试技术不同。该项目中开发的技术、工具和数据集正在向公众开放，以造福社区。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Automated test generation for REST APIs: no time to rest yet

• DOI: 10.1145/3533767.3534401
• 发表时间: 2022-04
• 期刊: Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis
• 作者: Myeongsoo Kim;Qi Xin;S. Sinha;A. Orso

Use of test doubles in Android testing: an in-depth investigation

Android 测试中测试替身的使用：深入调查

• DOI: 10.1145/3510003.3510175
• 发表时间: 2022
• 期刊: Proceedings of the 44th IEEE and ACM SIGSOFT International Conference on Software Engineering (ICSE 2022
• 作者: Fazzini, Mattia;Choi, Chase;Copia, Juan Manuel;Lee, Gabriel;Kakehi, Yoshiki;Gorla, Alessandra;Orso, Alessandro
• 通讯作者: Orso, Alessandro

Avgust: A Tool for Generating Usage-Based Tests from Videos of App Executions

• DOI: 10.1109/icse-companion58688.2023.00030
• 发表时间: 2023-05
• 期刊: 2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
• 作者: Saghar Talebipour;Hyojae Park;Kesina Baral;Leon Yee;Safwat Ali Khan;Kevin Moran;Yuriy Brun;N. Medvidović;Yixue Zhao

Enhancing REST API Testing with NLP Techniques

• DOI: 10.1145/3597926.3598131
• 发表时间: 2023-07
• 期刊: Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis
• 作者: Myeongsoo Kim;Davide Corradini;S. Sinha;A. Orso;Michele Pasqua;Rachel Tzoref;M. Ceccato

Deep GUI: Black-box GUI Input Generation with Deep Learning

• DOI: 10.1109/ase51524.2021.9678778
• 发表时间: 2021-11
• 期刊: 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)
• 作者: Faraz Yazdani;S. Malek