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  • Open Access


    Achieving State Space Reduction in Generated Ajax Web Application State Machine

    Nadeem Fakhar Malik1,*, Aamer Nadeem1, Muddassar Azam Sindhu2

    Intelligent Automation & Soft Computing, Vol.33, No.1, pp. 429-455, 2022, DOI:10.32604/iasc.2022.023423

    Abstract The testing of Ajax (Asynchronous JavaScript and XML) web applications poses novel challenges for testers because Ajax constructs dynamic web applications by using Asynchronous communication and run time Document Object Model (DOM) manipulation. Ajax involves extreme dynamism, which induces novel kind of issues like state explosion, triggering state changes and unreachable states etc. that require more demanding web-testing methods. Model based testing is amongst the effective approaches to detect faults in web applications. However, the state model generated for an Ajax application can be enormous and may be hit by state explosion problem for large number of user action based… More >

  • Open Access


    An Efficient Mechanism for Product Data Extraction from E-Commerce Websites

    Malik Javed Akhtar1, Zahur Ahmad1, Rashid Amin1, *, Sultan H. Almotiri2, Mohammed A. Al Ghamdi2, Hamza Aldabbas3

    CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2639-2663, 2020, DOI:10.32604/cmc.2020.011485

    Abstract A large amount of data is present on the web which can be used for useful purposes like a product recommendation, price comparison and demand forecasting for a particular product. Websites are designed for human understanding and not for machines. Therefore, to make data machine-readable, it requires techniques to grab data from web pages. Researchers have addressed the problem using two approaches, i.e., knowledge engineering and machine learning. State of the art knowledge engineering approaches use the structure of documents, visual cues, clustering of attributes of data records and text processing techniques to identify data records on a web page.… More >

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