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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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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 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
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
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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