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Recent neural models for data-to-document generation have achieved remarkable progress in producing fluent and informative texts. However, large proportions of generated texts do not actually conform to the input data. To address this…

Computation and Language · Computer Science 2018-08-21 Feng Nie , Hailin Chen , Jinpeng Wang , Jin-Ge Yao , Chin-Yew Lin , Rong Pan

Testing web forms is an essential activity for ensuring the quality of web applications. It typically involves evaluating the interactions between users and forms. Automated test-case generation remains a challenge for web-form testing: Due…

Software Engineering · Computer Science 2025-05-20 Tao Li , Chenhui Cui , Rubing Huang , Dave Towey , Lei Ma

Mock assertions provide developers with a powerful means to validate program behaviors that are unobservable to test assertions. Despite their significance, they are rarely considered by automated test generation techniques. Effective…

Software Engineering · Computer Science 2025-03-26 Hengcheng Zhu , Valerio Terragni , Lili Wei , Shing-Chi Cheung , Jiarong Wu , Yepang Liu

Large language models (LLMs) can generate code from natural language, but the extent to which they capture intended program behavior remains unclear. Executable behavioral specifications, defined via preconditions and postconditions,…

Software Engineering · Computer Science 2026-04-15 Zaoyu Chen , Jianbo Dai , Boyu Zhu , Jingdong Wang , Huiming Wang , Xin Xu , Haoyang Yuan , Zhijiang Guo , Xiao-Ming Wu

Mocking allows testing program units in isolation. A developer who writes tests with mocks faces two challenges: design realistic interactions between a unit and its environment; and understand the expected impact of these interactions on…

Software Engineering · Computer Science 2024-09-17 Deepika Tiwari , Martin Monperrus , Benoit Baudry

Developing an educational test can be expensive and time-consuming, as each item must be written by experts and then evaluated by collecting hundreds of student responses. Moreover, many tests require multiple distinct sets of questions…

Computation and Language · Computer Science 2023-10-11 Eric Zelikman , Wanjing Anya Ma , Jasmine E. Tran , Diyi Yang , Jason D. Yeatman , Nick Haber

A vast number of software systems include components that parse and process structured input. In addition to programming languages, which are analyzed by compilers or interpreters, there are numerous components that process standardized or…

Programming Languages · Computer Science 2025-08-07 Andreas Pointner , Josef Pichler , Herbert Prähofer

Model-based mutation testing uses altered test models to derive test cases that are able to reveal whether a modelled fault has been implemented. This requires conformance checking between the original and the mutated model. This paper…

Software Engineering · Computer Science 2012-02-29 Bernhard K. Aichernig , Elisabeth Jöbstl

Automated tests play an important role in software evolution because they can rapidly detect faults introduced during changes. In practice, code-coverage metrics are often used as criteria to evaluate the effectiveness of test suites with…

Software Engineering · Computer Science 2016-11-23 Rainer Niedermayr , Elmar Juergens , Stefan Wagner

Implementing automated unit tests is an important but time-consuming activity in software development. To assist developers in this task, many techniques for automating unit test generation have been developed. However, despite this effort,…

Software Engineering · Computer Science 2025-01-16 Rangeet Pan , Myeongsoo Kim , Rahul Krishna , Raju Pavuluri , Saurabh Sinha

Docker has gained attention as a lightweight container-based virtualization platform. The process for building a Docker image is defined in a text file called a Dockerfile. A Dockerfile can be considered as a kind of source code that…

Software Engineering · Computer Science 2025-04-28 Yuki Goto , Shinsuke Matsumoto , Shinji Kusumoto

Automatic testing is a widely adopted technique for improving software quality. Software developers add, remove and update test methods and test classes as part of the software development process as well as during the evolution phase,…

Software Engineering · Computer Science 2017-09-27 Stanislav Levin , Amiram Yehudai

JavaScript obfuscators are widely deployed to protect intellectual property and resist reverse engineering, yet their correctness has been largely overlooked compared to performance and resilience. Existing evaluations typically measure…

Software Engineering · Computer Science 2026-03-03 Shan Jiang , Chenguang Zhu , Sarfraz Khurshid

JavaScript has been consistently among the most popular programming languages in the past decade. However, its dynamic, weakly-typed, and asynchronous nature can make it challenging to write maintainable code for developers without in-depth…

Cryptography and Security · Computer Science 2024-12-02 Vikas Kambhampati , Nehaz Hussain Mohammed , Amin Milani Fard

JavaScript systems are becoming increasingly complex and large. To tackle the challenges involved in implementing these systems, the language is evolving to include several constructions for programming- in-the-large. For example, although…

Software Engineering · Computer Science 2018-08-07 Leonardo Humberto Silva , Marco Tulio Valente , Alexandre Bergel

Conformance checking, one of the main process mining operations, aims to identify discrepancies between a process model and an event log. The model represents the expected behaviour, whereas the event log represents the actual process…

Formal postconditions precisely characterize program behavior and support debugging, testing, and verification, but writing them requires substantial expertise and effort. This has motivated recent work on automatically generating…

Software Engineering · Computer Science 2026-05-06 Gehao Zhang , Juan Zhai

The JavaScript language did not specify, until ECMAScript 6 (ES6), native features for streamlining encapsulation and modularity. Developer community filled the gap with a proliferation of design patterns and module formats, with impact on…

Software Engineering · Computer Science 2026-04-21 Katerina Paltoglou , Vassilis E. Zafeiris , N. A. Diamantidis , E. A. Giakoumakis

A code generation model generates code by taking a prompt from a code comment, existing code, or a combination of both. Although code generation models (e.g., GitHub Copilot) are increasingly being adopted in practice, it is unclear whether…

Software engineering research has always being concerned with the improvement of code completion approaches, which suggest the next tokens a developer will likely type while coding. The release of GitHub Copilot constitutes a big step…