AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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3,069 papers
This paper reports a study where realism was combined with control over certain context and process factors to identify the most important relationships among process, context and outcome.
It is proposed that early contract-based activities could be transformed into a long-term partnership by adopting a startup boundary spanner's role, establishing an inter-personal relationship and maintaining a mutual commitment.
The results indicate that software developers are a slightly happy population, but the need for limiting the unhappiness of developers remains, and 219 factors representing causes of unhappiness while developing software are identified.
The behaviour theory of entrepreneurial firms is applied to understand the root-cause of some software startup challenges and implies that effectual entrepreneurial processes might require a more suitable product development approach than the current state-of-practice.
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This paper will focus on how to build and set up a test harness to gather empirical data from Companies and how to store these data together with demographical and financial data from the PROFF-portal in the Entrepreneurial Data Warehouse (from now called the EDW).
Using qualitative data analysis of the responses given by 181 questionnaire participants, a classification scheme is identified of 49 consequences of unhappiness while doing software development that have detrimental consequences on developers' mental well-being, the software development process, and the produced artif...
Consequences of happiness and unhappiness that are beneficial and detrimental for developers' mental well-being, the software development process, and the produced artifacts are found.
The first results from a study exploring the consequences of the unhappy developers are presented, and it is predicted that the classification scheme identified will spawn new happiness studies linking causes and effects and can act as a guideline for developers and managers to foster happiness at work.
This study demonstrates that it is possible to use the CMMI for assessing and improving agile processes, however, the analysis reveals that assessing an agile organization requires more interpretations than normally would be the case.
There is a constant need to check what interest agile practitioners and what agile researchers are investigating, to make sure that the states of the art and practice are aligned properly.
This extended abstract summarises an article, which has been published in the Information and Software Technology (IST) Journal and was selected for the Journal-First presentations at the International Conference on Software and System Process (ICSSP 2018). Full Article Reference. Henry Edison, Xiaofeng Wang, Ronald Ja...
The findings show that speed related agile practices are used to a greater extent in comparison to quality practices, and that software startups who adopt the Lean Startup approach do not sacrifice quality for speed more than other startups do.
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
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For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
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