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2,089 papers
A model of desirable JSF factors is offered that contributes to the body of knowledge related to the decision-making process when selecting a JSF and is useful for Web and JSF developers.
A model of desirable JavaScript framework adoption factors is offered that contributes to the body of knowledge related to the adoption of technology by software engineers and is useful for decision makers when evaluating JavaScript frameworks, as well as for developers for producing desirable frameworks.
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Advertise in front of researchers, engineers, and readers.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
The preliminary finding results in a list of 17 security challenges with regards to technical, organizational and methodological perspectives, which provides initial explanation about the less emphasis on methodological and organizational security concerns in cases.
It is found that agile development is known to hardware entrepreneurs, however it is limitedly adopted, and four categories of tactics are found that enable hardware startups agile in their early stage business and product development.
This report documents the program and the outcomes of Dagstuhl Seminar 18182 "Software Business, Platforms, and Ecosystems: Fundamentals of Software Production Research".
This paper presents Essencery, a tool for essentializing software engineering methods and practices using the Essence graphical syntax and presents an empirical evaluation of the tool by means of a qualitative, quasi-formal experiment, which confirms that the tool is easy to use and useful for its intended purpose.
This paper studies Essence in an educational setting to evaluate its usefulness for software engineering students while also investigating barriers to its adoption in this context.
AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…
Data Mining & Modeling
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
During the School of Humanities, Arts, and Social Sciences’ 75th Anniversary Symposium, President Sally Kornbluth said “MIT has never needed your particular insight and guidance more than we do now.”
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
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