Defects4J stands out as the most popular benchmark in software testing research, known for its comprehensive collection of real bugs from open-source systems. this paper presents an in-depth study of Defects4J's f...
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this study explores unsupervised learning methods for consumer segmentation - mean shift, hierarchical, and k-means clustering - in the context of vital business-customer interactions. Focused on addressing the escala...
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In the field of machine learning, the classification of musical instrument sounds is becoming popular. the aim of this work is to automate the identification and categorization of diverse musical instruments based on ...
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State-of-the-art methods for knee OsteoArthritis (OA) disease grade classification using Deep learning (DL) based techniques are reviewed in the current work. Early detection-cum-classification of the knee is of subst...
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To ensure the quality of a software system, developers perform an activity known as unit testing, where they write code (known as test cases) that verifies the individual software units that make up the system. Like p...
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ISBN:
(纸本)9798350322590
To ensure the quality of a software system, developers perform an activity known as unit testing, where they write code (known as test cases) that verifies the individual software units that make up the system. Like production code, test cases are subject to bad programming practices, known as test smells, that hurt maintenance activities. An essential part of most maintenance activities is program comprehension which involves developers reading the code to understand its behavior to fix issues or update features. In this study, we conduct a controlled experiment with 96 undergraduate computer science students to investigate the impact of two common types of test smells, namely Assertion Roulette and Eager Test, on a student's ability to debug and troubleshoot test case failures. Our findings show that students take longer to correct errors in production code when smells are present in their associated test cases, especially Assertion Roulette. We envision our findings supporting academia in better equipping students withthe knowledge and resources in writing and maintaining high-quality test cases. Our experimental materials are available online(1)
the Internet of Behavior (IoB), a successor to the Internet of things (IoT), is a booming field at the intersection of technology, data analysis, and human psychology. It focuses on gathering and analyzing data from w...
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As in-vehicle systems become more complex, a rapid paradigm change is required. Automotive Original Equipment Manufacturers (OEMs) demand a flexible system structure that continuously updates vehicle software. this tr...
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the correct setup of the overhead gaspers’ flow rate and direction can alter the airflow patterns and effectively reduce the infection risk of airborne transmission in aircraft cabins. To achieve this, a gasper adjus...
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the growing demand for software developers and the increasing development complexity have emphasized the need for support in softwareengineering projects. this is especially relevant in light of advancements in artif...
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ISBN:
(纸本)9798350322637
the growing demand for software developers and the increasing development complexity have emphasized the need for support in softwareengineering projects. this is especially relevant in light of advancements in artificial intelligence, such as conversational systems. A significant contributor to the complexity of software development is the multitude of tools and methods used, creating various contexts in which software developers must operate. Moreover, there has been limited investigation into the interaction between context-based chatbots and software developers through experimental user studies. Assisting software developers in their work becomes essential. In particular, understanding the context surrounding software development and integrating this context into chatbots can lead to novel insight into what software developers expect concerning these human-chatbot interactions and their levels of automation. In my research, I study the design of context-based adaptive interactions between software developers and chatbots to foster solutions and knowledge to support software developers at work.
Current in-process inspection system used at a local pharmaceutical company is manual, outdated and not equipped to perform 100% non-destructive testing to identify critical production defects prior to product release...
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