Boris Baldassari

Boris Baldassari
Université de Lille · GRAPPA - LIFL Laboratoire d'Informatique Fondamentale de Lille - UMR 8022

Ph.D.

Publications

Publications (6)
Thesis
Full-text available
Les référentiels utilisés dans le développement logiciel offrent une quantité importante d'information sur les outils, méthodes et pratiques de développement. Cette information est globalement peu utilisée car elle est difficile d'accès (référentiels répartis, issus d'une grande variété d'outils différents), elle est de nature spécifique (semi-stru...
Conference Paper
Full-text available
Software engineering is a maturing discipline which has seen many drastic advances in the last years. However, some studies still point to the lack of rigorous and mathematically grounded methods to raise the field to a new emerging science, with proper and reproducible foundations to build upon. Indeed, mathematicians and statisticians do not nece...
Conference Paper
Full-text available
L'extraction de connaissances à partir de données issues du génie logi-ciel est un domaine qui s'est beaucoup développé ces dix dernières années, avec notamment la fouille de référentiels logiciels (Mining Software Repositories) et l'application de méthodes statistiques (partitionnement, détection d'outliers) à des thématiques du processus de dével...
Conference Paper
Full-text available
Quality has a price. But non-quality is even more expensive. Knowing the cost and consequences of software assets, being able to understand and control the development process of a service, or quickly evaluating the quality of external developments are of primary importance for every company relying on software. Standards and tools have tried with...
Conference Paper
Full-text available
To produce high quality object-oriented systems, a strong emphasis on the development process is necessary. This implies two implicit and complementary goals. First, to ensure a full control over the whole process, enabling accurate cost and delay estimation, resource efficient management, and a better overall understanding. Second, to improve qual...

About

6
Publications
1,040
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
16
Citations
Introduction
I am an experienced software engineer, especially curious about how data mining techniques can help answer real-world concerns for software engineering in the industry. To that end, I founded Castalia Solutions to provide consulting services to help companies optimise their software development process and get better insights on their software development data assets. If you are as curious as I am about these topics, please feel free to contact me.

Network

Cited By

Projects

Project (1)
Project
Recent reports state that the adoption of open-source software (OSS) helps, resulting in savings of about $60 billion per year to consumers. However, the use of OSS also comes at enormous cost: choosing among OSS projects and maintaining dependence on continuously changing software requires a large investment. Deciding if an OSS project meets the required standards for adoption is hard, and keeping up-to-date with an evolving project is even harder. It involves analysing code, documentation, online discussions, and issue trackers. There is too much information to process manually and it is common that uninformed decisions have to be made with detrimental effects. CROSSMINER remedies this by automatically extracting the required knowledge and injecting it into the IDE of the developers, at the time they need it to make their design decisions. This allows them to reduce their effort in knowledge acquisition and to increase the quality of their code. CROSSMINER uniquely combines advanced software project analyses with online monitoring in the IDE. The developer will be monitored to infer which information is timely, based on readily available knowledge stored earlier by a set of advanced offline deep analyses of related OSS projects. To achieve this timely and ambitious goal, CROSSMINER combines six end-user partners (in the domains of IoT, multi-sector IT services, API co-evolution, software analytics, software quality assurance, and OSS forges), along with R&D partners that have a long track-record in conducting cutting-edge research on large-scale software analytics, natural language processing, reverse engineering of software components, model-driven engineering, and delivering results in the form of widely-used, sustainable and industrial-strength OSS. The development of the CROSSMINER platform is guided by an advisory board of world-class experts and the dissemination of the project will be led by The Open Group. More info: http://cordis.europa.eu/project/rcn/206182_en.html https://twitter.com/crossminer