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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Crisis Management for Software Development and Knowledge Transfer

Issue 61: Springer Series in Smart Innovation, Systems and Technologies. Switzerland : Springer, 2016.
Zykov S. V.
Under the general editorship: L. C. Jain, R. J. Howlett

Crisis is a burning issue; this is not a phenomenon, which can be conquered forever. Current approach to crisis is an optimized collaboration, which allows for manageable, measurable and predictable software development. Crisis is a new reality to live and work with. The current software development crisis dates back to the 1960s. The root cause of crisis is misbalance between resources and options. Understanding the nature of crisis helps to understand the reasons for the future crises.

This book is a navigator in lifecycle models, methodologies, principles and practices for predictable and efficient software development in crisis, i.e. under rapid requirement changes, resource deficit and other uncertainties. Therefore, the starting chapters suggest the major approaches to software development and their applicability in crisis. Further narration is case-based; it involves large-scale software implementations in different industries and knowledge transfer processes in IT education. The book suggests a set of principles that potentially marry the client’s and the developer’s views of the future software product in order to avoid or to mitigate the crisis.

The book will be helpful for students, postdocs, theorists and practitioners in software development. It suggests approved principles and practices of crisis management for software development.

Chapters
Software methodologies: Are our processes Crisis-Agile?
Zykov S. V., , in: Crisis Management for Software Development and Knowledge TransferIssue 61: Springer Series in Smart Innovation, Systems and Technologies.: Switzerland: Springer, 2016. P. 51–68.
In this chapter, we discuss software development methodologies. These are adaptive process frameworks adjustable to software product size and scope. They usually include a set of methods, principles and techniques, and software development tools. Each of the methodologies can implement any of the lifecycle models. We discuss the difference between formal and agile methodologies. The ...
Added: February 24, 2017
Software product lifecycles: What can be optimized and how?
Zykov S. V., , in: Crisis Management for Software Development and Knowledge TransferIssue 61: Springer Series in Smart Innovation, Systems and Technologies.: Switzerland: Springer, 2016. P. 27–50.
The chapter discusses lifecycle models for software development in more detail. These include build-and-fix, waterfall, incremental, object-oriented and spiral. We present a more detailed description of the lifecycle models application for software development. We compare benefits and shortcomings of the models discussed. We confirm that there is no “silver bullet”, i.e. a universal lifecycle model ...
Added: February 24, 2017
Research target: Mathematics Psychology Economics and Management Computer Science
Priority areas: IT and mathematics business informatics
Language: English
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Keywords: программная инженериямодель жизненного циклаsoftware engineeringdomain-specific languageпредметно-ориентированный языкпередача знанийknowledge transferSoftware crisisSoftware development lifecycleLifecycle modelSoftware development methodologyFormal methodologyAgile methodologyArchitectural patternHeterogeneous applicationPattern-based development“Soft” skillsSystems-of- systemsкризис разработки программного обеспеченияметодология разработкиформальная методологиягибкая методологиягетерогенное приложениепаттерн архитектурыразработка на основе паттерновсистемы систем«мягкие» навыки
Crisis Management for Software Development and Knowledge Transfer
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