ADELFE 2.0

General-purpose modeling languages are inadequate to model and visualize business processes precisely. An enterprise has its own vocabulary for modeling processes and its specific tasks may have attached data that define the tasks precisely. We propose using Domain Specific Modeling (DSM) languages to model business processes, such that an enterprise can define its own DSM language(s) capturing its vocabulary and data requirement. We suggest using UML profiles and UML activity diagrams as the semantic base for these DSM languages and present tools that are able to create a DSM language and tool support for a given domain. One tool, called ADSpecializer, can generate a UML profile and its tool support of a given application domain. The other tool, ADModeler, is used to create UML activity diagrams within such a domain-specific UML profile. The two tools enable an enterprise to efficiently define and utilize their own DSM language.

Compared to General Purpose Modeling Languages (GPMLs), Domain Specific Modeling Languages (DSMLs) have brought increasing expressivity and conciseness through the use of concepts and notations, which are customized by the characteristics of a specific problem domain. However, the creation of completely new languages can significantly increase software development costs. An alternative approach to creating new DSMLs refers to a customization of existing modeling languages. The DSML creation process through a customization of existing languages is a special case of Language Embedding. The embedding provides customization of an inherited infrastructure to a given domain. This paper elaborates a Domain-Specific Modeling environment for embedding an arbitrary DSML into an arbitrary GPML. The environment enables uniform development of DSMLs in the form of a lightweight extension of existing modeling languages.

Development of agent systems is naturally a complex task due to the fundamental characteristics of agents. In addition, agent internals and inter-agent behavior models inside Multi-agent Systems (MAS) may become even more difficult to implement when interactions of agents with web services on the Semantic Web are taken into account. Our approach consists of the utilization of a Domain-specific Modeling Language (DSML) during MAS development in order to cope with the abovementioned challenge. This paper describes how the formal semantics of this DSML can be defined by especially focusing on its viewpoint on agent-semantic service interactions and discusses the use of this semantics definition on MAS validation. Determined semantic rules are both defined and implemented by using Alloy specification language which has a strong description capability based on both relational and first-order logic.

The development and use of Domain Specific Languages emerged as a way to cope with complex problems using concepts closer to the problem domain. By leveraging the principles proposed by Model-Driven Development (MDD), like the separation of concerns and the use of model transformations, this approach became popular and caused the emergence of a variety of languages, known as Domain Specific Modeling Languages (DSMLs). Moreover, the use of DSMLs with graphical notations abstracts even more the problem domain, either by using extensions of UML or directly using metamodeling languages. The definition and use of DSMLs is only possible through specific tools, known as languages workbenches. This paper discusses the analysis and comparison of three of these tools (namely Papyrus, Enterprise Architect and Sirius) that were used to create the XIS-Mobile language, a non-trivial DSML defined as a UML profile for modeling mobile applications in a platform-independent way. These tools were evaluated considering a set of key criteria (namely learnability, usability, graphical completeness, validation support, transformation support, evolvability and interoperability) which show their suitability to develop non-trivial languages.

The International Workshop on Non-functional System Properties in Domain Specific Modeling Languages (NFPinDSML) series traditionally takes place as part of the Satellite Events of the ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS). Traditionally, NFPinDSML gathers researchers and practitioners interested in the estimation and evaluation of system quality and their integration in Domain Specific Modeling Languages and Model Driven Engineering in general. This paper is the summary of the fourth NFPinDSML workshop which was affiliated with MODELS 2012.

Software development processes are collaborative in nature. Neglecting the key role of end-users leads to software unlikely to satisfy their needs. This collaboration becomes specially important when creating Domain-Specific Modeling Languages (DSMLs), which are (modeling) languages specifically designed to carry out the tasks of a particular domain. While end-users are actually the experts of the domain for which a DSML is developed, their participation in the DSML specification process is still rather limited nowadays. In this paper, we propose a more community-aware language development process by enabling the active participation of all community members (both developers and end-users of the DSML) from the very beginning. Our proposal is based on a DSML itself, called Collaboro, which allows representing change proposals on the DSML design and discussing (and tracing back) possible solutions, comments and decisions arisen during the collaboration. Collaboro also incorporates a metric-based recommender system to help community members to define high-quality notations for the DSMLs. We also show how Collaboro can be used at the model-level to facilitate the collaborative specification of software models.

Educational games are serious games that specifically used for education yet it is fun to play. There are numbers of domain specific modeling languages for educational games focus in various aspect and theories of learning. By having domain specific modeling language which applies a visual diagramming language, it helps in represent design ideas and logic. This paper analyzes existing modelling languages to assess the coverage of strategy genre and transfer learning concepts. The results show that existing modelling languages covers important strategy genre concepts but cover very little of the transfer learning concepts. The authors conclude that the existing modelling languages can be used to model small strategy games but will have trouble to scale to large strategy games, and will not be able to model games that guarantee students learning.

Modeling and modeling methods are crucial for information systems engineering but are seldom seamlessly integrated into all phases of development and operation: Practitioners challenge the benefits of modeling and complain about the confusing variety of concepts with overlapping semantics, symbols and syntactic rules of today’s standardized, “universal” modeling languages. Therefore, domain-specific modeling languages (DSMLs) are gaining increasing popularity: they are lean and convenient, support the productivity of modeling, and help to increase model quality and comprehensibility. There are, however, few approaches to embedding a DSML into a domain-specific modeling method (DSMM) that provides guidelines about how to use a given DSML and to evaluate related models. This chapter aims to make a contribution towards filling that gap by discussing, as an example and proof of concept, a domain-specific modeling method for the human cognitive modeling language HCM-L, a DSML for the domain of active and assisted living. As a modeling language without tool support has no chance to be used in practice, we are conducting that discussion on the basis of HCM-L modeler, a tool that was implemented using the metamodeling platform ADOxx and can be accessed via OMiLAB, the Open Models Laboratory for modeling method engineering. HCM-L modeler is component of an ambient assistance system for supporting elder persons in mastering their daily life activities.

Despite the existence of many agent programming environments and platforms, the developers may still encounter difficulties on implementing Multi-agent Systems (MASs) due to the complexity of agent features and agent interactions inside the MAS organizations. Working in a higher abstraction layer and modeling agent components within a model-driven engineering (MDE) process before going into depths of MAS implementation may facilitate MAS development. Perhaps the most popular way of applying MDE for MAS is based on creating Domain-specific Modeling Languages (DSMLs) with including appropriate integrated development environments (IDEs) in which both modeling and code generation for system-to-be-developed can be performed properly. Although IDEs of these MAS DSMLs provide some sort of checks on modeled systems according to the related DSML’s syntax and semantics descriptions, currently they do not have a built-in support for debugging these MAS models. That deficiency causes the agent developers not to be sure on the correctness of the prepared MAS model at the design phase. To help filling this gap, we introduce a conceptual generic debugging framework supporting the design of agent components inside the modeling environments of MAS DSMLs. The debugging framework is composed of 4 different metamodels and a simulator. Use of the proposed framework starts with modeling a MAS using a design language and transforming design model instances to a run-time model. According to the framework, the run-time model is simulated on a built-in simulator for debugging. The framework also provides a control mechanism for the simulation in the form of a simulation environment model.

Transparency and transparent decision making are essential requirements in information systems. To this end, a modeling language called TranspLan has been proposed. TranspLan is a domain-specific modeling language which is designed for the purpose of analysing and modeling transparency requirements in information systems. This paper presents a metamodel for transparency requirements modeling. We are introducing a model-driven approach to TranspLan language specifications to facilitate the use of the language more efficiently in real life cases. Metamodeling is an effective method for formally defining domain specific languages and moving from specifications to computer-aided modeling. In this paper, we propose a metamodel for TranspLan modeling language which is called as TranspLanMeta. The metamodeling process helps us to transfer TranspLan language specifications into a machine-readable format. The metamodel has been developed with GME (Generic Modelling Environment), which is a configurable toolkit for creating domain-specific modeling and program synthesis environments. By developing TranspLanMeta with GME, an automatically-generated modeling tool for TranspLan language is provided as well. In this way, an effective approach for accelerating software development is followed and the auto-generated modeling editor is used to define various models. This work provides a formal and practical solution for transparency modeling and a well-defined basis for using transparency requirements models in the further steps of the business process.

Enterprises are inherently complex systems, which involve a multitude of components working dynamically and in coordination to obtain a desired end goal. The intricacy of an enterprise and how the different components can be modeled is the area of research of Enterprise Modeling (EM). When holistically modeling an enterprise, it is required to use more than one modeling language, including general and domain specific modeling languages (DSML), to boost the comprehension of different enterprise areas. However, the use of multiple languages can lead to a lack of detail and understanding of the relationships between enterprise components that are modeled in different domains. Analyzing the relationships between various enterprise domains can generate valuable insight into understanding the uncertainty, complexity, and operations of an enterprise. In this paper, we present an approach to enable EM from multiple perspectives allowing enterprises to use different languages to describe various domains. This approach supports the creation of relationships and dependencies between domains, to analyze from different depths and viewpoints desired enterprise perspectives. Considering the needed requirements for multi-perspective modeling, we developed a workbench that allows the composition and merger of different EM languages and creates ad-hoc EM tools based on the necessities of the enterprise.KeywordsEnterprise ModelingLanguage workbenchDomain specific modeling languages

The demand for creating increasingly dynamic, autonomous and proactive software systems is challenging for the traditional Multi-agent Systems (MASs) approaches. Such requirement has given rise to adaptive software agents approaches. At the same time, norm is an essential and challenging feature that still tends to be addressed in adaptive MAS. In fact, norms to regulate agent behavior is still a vague concept that has not been properly investigated in terms of modeling and implementation. Even though many researchers have proposed modeling languages to deal with different abstractions, these languages fail to support the modeling of abstractions, such as adaptation and norms. Even more severe is the fact that little has been done to support the systematic design of Adaptive Normative Multi-Agent Systems (ANMASs). To facilitate the design and development of ANMASs, this paper presents a new metamodel, as well as language support, as means to provide tools to enable software developers. The proposed metamodel fosters a better understanding of the way agents are able to change their behaviors to deal with norms and captures interactions between agent’s norms and adaptation. To this end, our research is organized into five steps: (i) a literature review to identify the limitations of existing approaches related to ANMAS modeling; (ii) propose a new metamodel to support adaptative and normative concepts; (iii) propose a new language for modeling ANMASs; (iv) perform a qualitative and quantitative evaluation of the proposed language using a real case scenario, and (v) an empirical evaluation. The proposed metamodel and its associated modeling language advances the state of the art in modeling MASs and the approach is assessed in terms of correctness, time and difficulty. Our initial results revealed that our approach can be feasibly applied in a real world application, and is less difficult to apply and requires less time in comparison with a traditional approach. As software applications become more dynamic and adaptive, we believe it is essential to support developers to model MASs with abstractions such as adaptive agents, norms and their relationships. Such information can be foundational to steer future research on modeling adaptive agents capable of understanding and dealing with norms and adaptation.

Domain-specific modelling langugages, which are tailored to the requirements of their users, can significantly increase the acceptance of formal (or at least semi-formal) modelling in scenarios where informal diagrams and natural language descriptions are predominant today. We show in this article how the Resource Description Framework (RDF), which is a standard for the fundamental data structures of the Semantic Web, and algebraic graph transformations on these data structures can be used to realise and modify the abstract syntax of models in such domain-specific languages. We examine a small domain-specific modelling language for IT infrastructures--inspired by real-world requirements from a banking environment--as an application scenario. From this scenario, we derive four key requirements for a domain-specific modelling framework: (1) distributed modelling, (2) evolution of language definitions, (3) migration of legacy models and (4) integration of modelling languages. RDF and transformation rules are then used to provide a solution which meets these requirements simultaneously, where all kinds of modifications--from simple editing steps via model migration to language integration--are realised in an integrated manner by the single, declarative formalism of algebraic graph transformation.

The paper is devoted to the convergence of critical and non-critical IT in the area of Business Analysis and Requirements Engineering. We consider Domain Specific Modelling (DSM) and Domain Specific Language (DSL) as promising points to improve Requirements Engineering maturity and quality in a safety-critical and security-critical domain. The paper presents a DSM-based procedure of knowledge management that can be implemented in a software engineering company to support the reuse of domain knowledge and technical solutions. Afterward, we select Gherkin language as a sample of DSL-based requirements elicitation, analysis, documentation, and validation in a frame of Behavior Driven Development. To provide a DSM&DSL-based Requirements Engineering technique we analyzed Gherkin's applicability for different kinds and levels of critical requirements.

Critical systems are present in our daily life and affect many aspects providing essential support to several human activities; they are employed in several application domains, providing support to economic activities, transportation, communication, health-care. Such systems must meet strict non-functional requirements, including dependability requirements, and should be able to cope with competitive market needs. Their criticality implies the necessity to meet several requirements, often dictated by international standards, whose fulfillment must be demonstrated in order to achieve necessary certifications. Quantitative evaluations are hence needed to assess and demonstrate compliance with target requirements, since design phases of the lifecycle. For this purpose modeling approaches have been investigated during the years; their aim is to have a of the overall system which allows to assess and demonstrate these properties. It is commonly known that the adoption of formal models in industry, although if strongly recommended when not mandatory, is slowed down by difficulties dictated both by the complexity of the models (which reflects the complexity of the systems) and by the need to have skilled staff in the usage of formal languages. For this reason, also if the academic research trends have focused on complex modeling approaches and techniques, formal models are not so used in industries: in particular only combinatorial models are widely adopted, thanks to their intuitive representation. The great simplifications introduced by combinatorial models lead to approximated results, hence system designers do not trust in them. In the last years the need of a model engineering is noticed: there is the necessity to define appropriate methodologies and processes to support development activities of complex models, aiming at improving the quality/cost ratio. In this way three main research trends have been introduced: formal models generation, multiformalism, and compositional approaches. This thesis aims at defining a methodology for quantitative analysis of critical system that can integrate Model-Based evaluations, conducted by using formal models, with Model-Driven Engineering (MDE) paradigms, taking advantage of the actual research trends. More in detail, according to such approach, critical systems properties can be assessed starting from high level models expressed in proper languages (usually called Domain Specific Modeling Languages - DSMLs), and defining automatic transformation chains, able to generate formal models. The methodology is implementable into cost-effective processes in order to reduce time-to-market specifically during verification stages of critical system development lifecycles. Such objective will be achieved by both improving usability and re-usability of typical Model-Driven artifacts. The adoption of this methodology for railway system dependability analysis may lead to an estimated costs reduction of approximately 30%. The usage of a high-level central language significantly decreases also the training time of new analysts, as they only need to learn the DSML usage (properly developed for the application domain). This thesis defines also two high-level modeling languages: the first, CIP_VAM, has been defined to vulnerability aspects of physical infrastructures, while the second, DAM-Rail, allows the dependability modeling in railway domain. Another important contribution of this thesis is given in the definition of new methods and formal operators: in detail a reference architecture for performability and Quality of Service evaluation is defined, as well as the formal concept of Model Template is introduced (to enable reuse). At last two techniques which deals with scalability are addressed: stub and reduced models. Even if the focus is on quantitative evaluation, the proposed methodology is useful also for the complete design (based on centralized informations), hence it is possible to extend it for automatic generation of documents and, more generally, of all those artifacts which support system development. The proposed approach has been applied with different goals to case studies coming from three different domains: railway systems, conferencing systems, and sensor network. These systems have different and complementary properties in terms of number of involved components, scalability, etc. Produced models are described, and obtained results are shown and commented.