Lab of Software and Service Engineering
Джанкарло Суччи
Faculty of Computer Science and Engineering

Software and Service Engineering Laboratory

The Lab of Software and Service Engineering focuses on development of theories, methods, tools and programs covering two major aspects of software engineering: process side aimed at software development, and product side aimed at final results of the processes. 

We have been pursuing the objective of improving Software Quality of the final product. This can be achieved by process optimization, as well as usage of effective architectural styles, design patterns and well-established software engineering techniques for design, testing and verification. In particular, our work has been focused on service-based architectural styles and concurrent service-based systems.

Head of the Laboratory – Nikolay Shilov

Laboratory Activities

Software and Service Engineering Laboratory of Innopolis University is devoted to method and tool development for software quality improvement. Although we attempt to cover the whole field of software engineering, our areas of emphasis are: 


— Software verification (both proofs and tests) 

— Concurrency 

— Persistence and evolution 

— Object-oriented reengineering 

— Language design and evolution (with particular focus on Eiffel) 

— Software architectures 

— Model checking and temporal logic 

— Process calculi 

— Service-oriented programming 

— Microservices (with particular focus on Jolie) 

— Social networks and trust algorithms 

— IoT and Smart Cities 

— DevOps 

— User Experience and Usability 

— Global Health 

— Web mining 

Members

Nikolay Shilov

Head of the laboratory, Assistant professor

Manuel Mazzara

Professor

Hamza Mohd Abdelkareem Salem

Head Teacher

Mansur Khazeev

Head Teacher

Maria Naumcheva

Assistant

Megha Swati

Assistant

Sirojiddin Komolov

Assistant

Haider Furkan

Assistant

Farah Atif 

Assistant

Gerald Birgen Imbugwa

Assistant

invited professors

Bertrand Meyer

Jean-Michel Bruel

Mohamad Kassab

Alfredo Capozucca

Salvatore Distefano

Projects

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01

ReqExp extraction of requirements from arbitrary technical texts

The project uses deep machine learning and natural language processing

02

Porting Docker to experimental operating systems

The project allows you to identify the directions of further development of operating systems in the phase of active development

03

TICOTA: Test Inputs Constructed Out Of Thin Air

Analyze disparate specifications using machine learning technologies. The project aims to improve the efficiency of automatically generated texts

04

Requirements processes for seamless development

The project is aimed at creating software development processes that allow you to respond as quickly and correctly as possible to frequent changes in requirements

05

Habit-Forming through a Software Product. Practical Applications of the Hooked model

The research explores upholding family ties as a positive habit and its effect on software engineers, and presents an applied case study on shaping human behaviour and habit-forming through software technology

06

Arabic Video Generator (AVG ) using Machine learning - Convert Website Blogs to Youtube Animated Videos

The research aims at creating a tool to generate animated videos from using blogs content. using different technology such as: Web Scraping , NLP, HTMLP and Professional text to speech based on the content