A Survey on Web Application Testing: A Decade of Evolution

• URL: http://arxiv.org/abs/2412.10476v1
• Date: Fri, 13 Dec 2024 04:13:28 GMT
• Title: A Survey on Web Application Testing: A Decade of Evolution
• Authors: Tao Li, Rubing Huang, Chenhui Cui, Dave Towey, Lei Ma, Yuan-Fang Li, Wen Xia,
• Abstract summary: Web Application Testing (WAT) plays a vital role in ensuring web applications' functionality, security, and reliability. Various WAT approaches have been developed over the last decade. This paper examines the main steps involved in WAT, including test-case generation and execution, and evaluation and assessment.
• Score: 22.84916271936475
• License:
• Abstract: As one of the most popular software applications, a web application is a program, accessible through the web, to dynamically generate content based on user interactions or contextual data, for example, online shopping platforms, social networking sites, and financial services. Web applications operate in diverse environments and leverage web technologies such as HTML, CSS, JavaScript, and Ajax, often incorporating features like asynchronous operations to enhance user experience. Due to the increasing user and popularity of web applications, approaches to their quality have become increasingly important. Web Application Testing (WAT) plays a vital role in ensuring web applications' functionality, security, and reliability. Given the speed with which web technologies are evolving, WAT is especially important. Over the last decade, various WAT approaches have been developed. The diversity of approaches reflects the many aspects of web applications, such as dynamic content, asynchronous operations, and diverse user environments. This paper provides a comprehensive overview of the main achievements during the past decade: It examines the main steps involved in WAT, including test-case generation and execution, and evaluation and assessment. The currently available tools for WAT are also examined. The paper also discusses some open research challenges and potential future WAT work.

Related papers

• WebCanvas: Benchmarking Web Agents in Online Environments [29.278363444725628]
  WebCanvas is an innovative online evaluation framework for web agents. We open-source an agent framework with modules for reasoning, providing a foundation for the community to conduct online inference and evaluations. Our best-performing agent achieves a task success rate of 23.1% and a task completion rate of 48.8% on the Mind2Web-Live test set.
  arXiv  Detail & Related papers  (2024-06-18T07:58:33Z)
• Fuzzing Frameworks for Server-side Web Applications: A Survey [3.522950356329991]
  This study reviews the state-of-the-art fuzzing frameworks for testing web applications through web API. We collect papers from seven online repositories of peer-reviewed articles over the last ten years.
  arXiv  Detail & Related papers  (2024-06-05T12:45:02Z)
• WebSPL: A Software Product Line for Web Applications [1.3121410433987561]
  This paper presents WebSPL, a product line for Web applications that supports the main features found in Wed applications in real-world settings. The proposed WebSPL was evaluated by comparing it with a Web application developed based on a traditional approach.
  arXiv  Detail & Related papers  (2024-04-03T21:04:54Z)
• WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? [83.19032025950986]
  We study the use of large language model-based agents for interacting with software via web browsers. WorkArena is a benchmark of 33 tasks based on the widely-used ServiceNow platform. BrowserGym is an environment for the design and evaluation of such agents.
  arXiv  Detail & Related papers  (2024-03-12T14:58:45Z)
• On the Multi-turn Instruction Following for Conversational Web Agents [83.51251174629084]
  We introduce a new task of Conversational Web Navigation, which necessitates sophisticated interactions that span multiple turns with both the users and the environment. We propose a novel framework, named self-reflective memory-augmented planning (Self-MAP), which employs memory utilization and self-reflection techniques.
  arXiv  Detail & Related papers  (2024-02-23T02:18:12Z)
• WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models [65.18602126334716]
  Existing web agents typically only handle one input modality and are evaluated only in simplified web simulators or static web snapshots. We introduce WebVoyager, an innovative Large Multimodal Model (LMM) powered web agent that can complete user instructions end-to-end by interacting with real-world websites. We show that WebVoyager achieves a 59.1% task success rate on our benchmark, significantly surpassing the performance of both GPT-4 (All Tools) and the WebVoyager (text-only) setups.
  arXiv  Detail & Related papers  (2024-01-25T03:33:18Z)
• VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks [93.85005277463802]
  VisualWebArena is a benchmark designed to assess the performance of multimodal web agents on realistic tasks. To perform on this benchmark, agents need to accurately process image-text inputs, interpret natural language instructions, and execute actions on websites to accomplish user-defined objectives.
  arXiv  Detail & Related papers  (2024-01-24T18:35:21Z)
• Enabling Technologies for Web 3.0: A Comprehensive Survey [28.85549752146637]
  Web 3.0 represents the next stage of Internet evolution, aiming to empower users with increased autonomy, efficiency, quality, security, and privacy. We conduct an in-depth survey of enabling technologies in the context of Web 3.0, such as blockchain, semantic web, 3D interactive web, Metaverse, Virtual reality/Augmented reality, Internet of Things technology, and their roles in shaping Web 3.0.
  arXiv  Detail & Related papers  (2023-12-29T10:22:18Z)
• Artificial Intelligence for Web 3.0: A Comprehensive Survey [76.06151253928171]
  We explore the current development state of Web 3.0 and the application of AI Technology in Web 3.0. Our investigation delves into the major challenges and issues present in each of these layers. We illustrate the crucial role of AI in the foundation and growth of Web 3.0.
  arXiv  Detail & Related papers  (2023-08-17T12:36:01Z)
• Mining Implicit Relevance Feedback from User Behavior for Web Question Answering [92.45607094299181]
  We make the first study to explore the correlation between user behavior and passage relevance. Our approach significantly improves the accuracy of passage ranking without extra human labeled data. In practice, this work has proved effective to substantially reduce the human labeling cost for the QA service in a global commercial search engine.
  arXiv  Detail & Related papers  (2020-06-13T07:02:08Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.