Les systèmes distribués sont au cœur de nombreuses applications modernes (réseaux sociaux, services web, etc.). Cependant, les développeurs sont confrontés à de nombreux défis dans l’implémentation des systèmes distribués, notamment les comportements erronés à éviter et qui sont causées par la concurrence entre les entités de ce système. La génération automatique de code à partir des exigences des systèmes distribués reste un vieux rêve. Dans cette thèse, nous considérons la génération automatique d'un squelette de code portant sur les interactions entre les différentes entités d'un système distribué. Cela nous permet d'éviter les comportements erronés causés par la concurrence. Ensuite, ce squelette peut être complété par l'ajout et le débogage du code qui décrit les actions locales qui se passent sur chaque entité indépendamment de ses interactions avec les autres entités. / Distributed systems lie at the heart of many modern applications (social networks, web services, etc.). However, developers face many challenges in implementing distributed systems. The major one we focus on is avoiding the erroneous behaviors, that do not appear in the requirements of the distributed system, and that are caused by the concurrency between the entities of this system. The automatic code generation from requirements of distributed systems remains an old dream. In this thesis, we consider the automatic generation of a skeleton of code covering the interactions between the entities of a distributed system. This allows us to avoid the erroneous behaviors caused by the concurrency. Then, in a later step, this skeleton can be completed by adding and debugging the code that describes the local actions happening on each entity independently from its interactions with the other entities. The automatic generation that we consider is from a scenario-based specification that formally describes the interactions within informal requirements of a distributed system. We choose High-level Message Sequence Charts (HMSCs for short) as a scenario-based specification for the many advantages that they present: namely the clear graphical and textual representations, and the formal semantics. The code generation from HMSCs requires an intermediate step, called “Synthesis” which is their transformation into an abstract machine model that describes the local views of the interactions by each entity (A machine representing an entity defines sequences of messages sending and reception). Then, from the abstract machine model, the skeleton’s code generation becomes an easy task. A very intuitive abstract machine model for the synthesis of HMSCs is the Communicating Finite State Machine (CFSMs). However, the synthesis from HMSCs into CFSMs may produce programs with more behaviors than described in the specifications in general. We thus restrict then our specifications to a sub-class of HMSCs named "local HMSC". We show that for any local HMSC, behaviors can be preserved by addition of communication controllers that intercept messages to add stamping information before resending them. We then propose a new technique that we named "localization" to transform an arbitrary HMSC specification into a local HMSC, hence allowing correct synthesis. We show that this transformation can be automated as a constraint optimization problem. The impact of modifications brought to the original specification can be minimized with respect to a cost function. Finally, we have implemented the synthesis and the localization approaches into an existing tool named SOFAT. We have, in addition, implemented to SOFAT the automatic code generation of a Promela code and a JAVA code for REST based web services from HMSCs.

Distributed systems lie at the heart of many modern applications (social networks, web services, etc.). However, developers face many challenges in implementing distributed systems. The major one we focus on is avoiding the erroneous behaviors, that do not appear in the requirements of the distributed system, and that are caused by the concurrency between the entities of this system. The automatic code generation from requirements of distributed systems remains an old dream. In this thesis, we consider the automatic generation of a skeleton of code covering the interactions between the entities of a distributed system. This allows us to avoid the erroneous behaviors caused by the concurrency. Then, in a later step, this skeleton can be completed by adding and debugging the code that describes the local actions happening on each entity independently from its interactions with the other entities. The automatic generation that we consider is from a scenario-based specification that formally describes the interactions within informal requirements of a distributed system. We choose High-level Message Sequence Charts (HMSCs for short) as a scenario-based specification for the many advantages that they present: namely the clear graphical and textual representations, and the formal semantics. The code generation from HMSCs requires an intermediate step, called "Synthesis" which is their transformation into an abstract machine model that describes the local views of the interactions by each entity (A machine representing an entity defines sequences of messages sending and reception). Then, from the abstract machine model, the skeleton's code generation becomes an easy task. A very intuitive abstract machine model for the synthesis of HMSCs is the Communicating Finite State Machine (CFSMs). However, the synthesis from HMSCs into CFSMs may produce programs with more behaviors than described in the specifications in general. We thus restrict then our specifications to a sub-class of HMSCs named "local HMSC". We show that for any local HMSC, behaviors can be preserved by addition of communication controllers that intercept messages to add stamping information before resending them. We then propose a new technique that we named "localization" to transform an arbitrary HMSC specification into a local HMSC, hence allowing correct synthesis. We show that this transformation can be automated as a constraint optimization problem. The impact of modifications brought to the original specification can be minimized with respect to a cost function. Finally, we have implemented the synthesis and the localization approaches into an existing tool named SOFAT. We have, in addition, implemented to SOFAT the automatic code generation of a Promela code and a JAVA code for REST based web services from HMSCs.

This thesis describes extensions to state machines in the Umple model-oriented programming language to offer queued state machines (QSM), pooled state machines (PSM) and handing of the arrival of unexpected events. These features allow for modeling the behavior of a system or protocol in a more accurate way in Umple because they enable detecting and fixing common design errors such as unspecified receptions. In addition, they simplify the communication between communicating state machines by allowing for asynchronous calls of events and passing of messages between state machines. Also, a pooled state machine (PSM) has been developed to provide a different policy of handling events that avoid unspecified receptions. This mechanism has similar semantics as a queued state machine, but it differs in the way of detecting unspecified receptions because it helps handling these errors. Another mechanism has been designed to use the keyword ‘unspecified’ in whatever state of a state machine the user wants to detect these errors. In this thesis, the test-driven development (TDD) process has been followed to first modify the Umple syntax to add ‘queued,’ ‘pooled,’ and ‘unspecified’ keywords to Umple state machine’s grammar; and second, to make a change to the Umple semantics in order to implement these extensions in Umple. Then, additional modifications have been made to allow for Java code generation from those types of state machines. Finally, more test cases have been written to ensure that these models are syntactically and semantically correct. In order to show the usefulness and usability of these new features, an example is shown as a case study that is modeled using the queued state machine (QSM) besides other small tests cases.