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AST 2027: ACM/IEEE International Conference on Automation of Software Test

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截稿日期:
2026-10-30 还有 24 天
通知日期:
2027-01-08
会议日期:
2027-04-26
会议地点:
Dublin, Ireland
届数:
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ICORE: C   浏览: 4019   关注: 0   参加: 0
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会伴指数 (CP-I)

52.0 / 100
全站第 1,208 名 / 共 5,693 个会议 · 前 22%

机器人与控制 第 39 / 470 软件工程 第 100 / 247

学术认可 (35%)
58
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
59
社区关注 (10%)
16
资料公开度 (15%)
55

用到的输入: 收录等级：ICORE C · 有据可查的届次：8 · 过去 24 个月打开过本页的研究者：8 人

公开资料里还缺: 历年录用率 (+4.5) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-05

征稿

AST 2027 (ACM/IEEE International Conference on Automation of Software Test) is a ICORE C conference held in Dublin, Ireland on 2027-04-26. The paper submission deadline is 2026-10-30. Acceptance notifications are sent on 2027-01-08.

Scope Software pervasiveness in both industry and digital society, as well as the proliferation of Artificial Intelligence (AI) technologies are continuously leading to emerging needs from both software producers and consumers. Infrastructures, software components, and applications aim to hide their increasing complexity in order to appear more human-centric. However, the potential risk from design errors, poor integrations, and time-consuming engineering phases can result in unreliable solutions that can barely meet their intended objectives. In this context, Software Engineering processes and methods keep demanding for the investigation of novel and further refined approaches to Software Quality Assurance (SQA). Software testing automation is a discipline that has produced noteworthy research in the last decades. The search for solutions to automatically test any concept of software is critical, and it encompasses several areas: from the generation of the test cases, test oracles, test stubs/mocks; through the definition of selection and prioritization criteria; up to the engineering of infrastructures governing the execution of testing sessions locally or remotely in the cloud. The Automation of Software Test (AST) conference continues with a long record of international scientific forums on methods and solutions to automate software testing. In 2027, AST is in its 8th edition of a conference that was formerly organized as workshops since 2006. The conference promotes high-quality research contributions on methods for software test automation, and original case studies reporting practices in this field. We invite contributions that focus on: i) lessons learned about experiments of automatic testing in practice; ii) experiences of the adoption of testing tools, methods and techniques; iii) best practices to follow in testing and their measurable consequences; and iv) theoretical approaches that are applicable to the industry in the context of AST. Our theme for this year is “Testing in the Age of AI: Governance, Compliance, and Oversight” Topics of Interest Submissions on the AST 2027 theme are especially encouraged, but papers on other topics relevant to the automation of software tests are also welcome. Topics of interest include, but are not limited to the following: AI for Automated Software Testing Testing of AI-based systems Effective testing through explainable AI Education to software testing with the advent of AI-based technology Automated software testing for sustainability, resource efficiency, energy consumption Codeless and low code test automation Test Automation in Software Process and Evolution, DevOps, Agile, CI/CD flows Test-driven development Model-based testing Formal methods, model checking and theories for testing and test automation Test case generation based on formal, semi-formal and AI models Theoretical foundations and methods for test automation Standardization of test languages, processes and tools Security, performance, and robustness testing Functional, interoperability, and conformance testing Usability and user experience testing Software simulation and automated software testing Testing of embedded, reactive and object-oriented systems Test automation of large complex systems Testing cyber physical systems Testing cloud and web systems and services Product line testing Testing anomaly detectors Metrics for testing - test effectiveness, efficiency, test coverage Testing tools Testing in different industry domains including healthcare, energy, finance, etc.
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