Object-centric reflection with Bifrost

Désolé, cet article est seulement disponible en Anglais Américain.

Des problèmes en variables booléennes à la gestion des dépendances entre logiciels

Désolé, cet article est seulement disponible en Anglais Américain.

Code Generation for Reactive Systems

Désolé, cet article est seulement disponible en Anglais Américain.

Towards a foundation for engineering decentralized self-adaptive software systems

Désolé, cet article est seulement disponible en Anglais Américain.

SmarterDeals: A Context-aware Deal Recommendation System based on the SmarterContext Engine

Désolé, cet article est seulement disponible en Anglais Américain.

A Framework to Compare Alert Ranking Algorithms

Désolé, cet article est seulement disponible en Anglais Américain.

Using Feature Model to build Model Transformation Chains

Domain Specific Warnings: Are They Any Better?

Désolé, cet article est seulement disponible en Anglais Américain.

Introducing Rascal for meta programming

On Friday 11, 14:00-14:45 LIFL room 111, Jurgen Vinju from CWI will present Rascal.
Abstract: Rascal is a domain specific language for meta programming in general. It supports parsing, model extraction, model analysis, code generation, visualization, etc. The first part of this talk introduces Rascal and motivates its existence and its language design.
The second part of the talk is about ongoing work. We have recently been applying Rascal to try and observe what the Cyclomatic Complexity metric actually means for understandability of Java methods. We parsed lots of Java code, then reduced the methods to their « control flow patterns ». We then used very basic statistical methods to observe that the CC metric may not be very informative about the intricacies of control flow in Java methods of open-source projects.
On Friday 11, 14:00-14:45 LIFL room 111, Jurgen Vinju from CWI will present Rascal.
Abstract: Rascal is a domain specific language for meta programming in general. It supports parsing, model extraction, model analysis, code generation, visualization, etc. The first part of this talk introduces Rascal and motivates its existence and its language design.
The second part of the talk is about ongoing work. We have recently been applying Rascal to try and observe what the Cyclomatic Complexity metric actually means for understandability of Java methods. We parsed lots of Java code, then reduced the methods to their « control flow patterns ». We then used very basic statistical methods to observe that the CC metric may not be very informative about the intricacies of control flow in Java methods of open-source projects.

Claim Monitoring for Tackling Uncertainty in Adaptive Systems (N. Bencomo)

Désolé, cet article est seulement disponible en Anglais Américain.