20 years of triple graph grammars: A roadmap for future research

Triple graph grammars (TGGs) provide a declarative, rule-based means of specifying binary consistency relationships between different types of graphs. Over the last 20 years, TGGs have been applied successfully in a range of application scenarios including: model generation, conformance testing, bidirectional model transformation, and incremental model synchronisation. In this paper, we review the progress made in TGG research up until now by exploring multiple research dimensions, including both the current frontiers of TGG research as well as important future challenges. Our aim is to provide a roadmap for the coming years of TGG research by stating clearly what we regard as adequately researched, and what we view as still unexplored potential

Synchronisation of Model Visualisation and Code Generation Based on Model Transformation

The development, maintenance and documentation of complex systems is commonly supported by model-driven approaches where system properties are captured by visual models at different layers of abstraction and from different perspectives as proposed by the Object Management Group (OMG) and its model-driven architecture. Generally, a model is a concrete view on the system from a specific perspective in a particular domain. We focus on visual models in the form of diagrams and whose syntax is defined by domain-specific modelling languages (DSLs). Different models may represent different views on a system, i.e., they may be linked to each other by sharing a common set of information. Therefore, models that are expressed in one DSL may be transformed to interlinked models in other DSLs and furthermore, model updates may be synchronised between different domains. Concretely, this thesis presents the transformation and synchronisation of source code (abstract syntax trees, ASTs) written in the Satellite-Procedure & Execution Language (SPELL) to flow charts (code visualisation) and vice versa (code generation) as the result of an industrial case study. The transformation and synchronisation are performed based on existing approaches for model transformations and synchronisations between two domains in the theoretic framework of graph transformation where models are represented by graphs. Furthermore, extensions to existing approaches are presented for treating non-determinism in concurrent model synchronisations. Finally, the existing results for model transformations and synchronisations between two domains are lifted to the more general case of an arbitrary number of domains or models containing views, i.e., a model in one domain may be transformed to models in several domains or to all other views, respectively, and model updates in one domain may be synchronised to several other domains or to all other views, respectively

Verification of model transformations

Model transformations are a central element of model-driven development (MDD) approaches such as the model-driven architecture (MDA). The correctness of model transformations is critical to their effective use in practical software development, since users must be able to rely upon the transformations correctly preserving the semantics of models. In this paper we define a formal semantics for model transformations, and provide techniques for proving the termination, confluence and correctness of model transformations

Extending relational model transformations to better support the verification of increasingly autonomous systems

Over the past decade the capabilities of autonomous systems have been steadily increasing. Unmanned systems are moving from systems that are predominantly remotely operated, to systems that include a basic decision making capability. This is a trend that is expected to continue with autonomous systems making decisions in increasingly complex environments, based on more abstract, higher-level missions and goals. These changes have significant implications for how these systems should be designed and engineered. Indeed, as the goals and tasks these systems are to achieve become more abstract, and the environments they operate in become more complex, are current approaches to verification and validation sufficient? Domain Specific Modelling is a key technology for the verification of autonomous systems. Verifying these systems will ultimately involve understanding a significant number of domains. This includes goals/tasks, environments, systems functions and their associated performance. Relational Model Transformations provide a means to utilise, combine and check models for consistency across these domains. In this thesis an approach that utilises relational model transformation technologies for systems verification, Systems MDD, is presented along with the results of a series of trials conducted with an existing relational model transformation language (QVT-Relations). These trials identified a number of problems with existing model transformation languages, including poorly or loosely defined semantics, differing interpretations of specifications across different tools and the lack of a guarantee that a model transformation would generate a model that was compliant with its associated meta-model. To address these problems, two related solvers were developed to assist with realising the Systems MDD approach. The first solver, MMCS, is concerned with partial model completion, where a partial model is defined as a model that does not fully conform with its associated meta-model. It identifies appropriate modifications to be made to a partial model in order to bring it into full compliance. The second solver, TMPT, is a relational model transformation engine that prioritises target models. It considers multiple interpretations of a relational transformation specification, chooses an interpretation that results in a compliant target model (if one exists) and, optionally, maximises some other attribute associated with the model. A series of experiments were conducted that applied this to common transformation problems in the published literature

Fundamental Approaches to Software Engineering

This open access book constitutes the proceedings of the 23rd International Conference on Fundamental Approaches to Software Engineering, FASE 2020, which took place in Dublin, Ireland, in April 2020, and was held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020. The 23 full papers, 1 tool paper and 6 testing competition papers presented in this volume were carefully reviewed and selected from 81 submissions. The papers cover topics such as requirements engineering, software architectures, specification, software quality, validation, verification of functional and non-functional properties, model-driven development and model transformation, software processes, security and software evolution

Modelling Architecture Styles

Software systems tend to increase over time in size and complexity. Their development usually spans a long period of time and often results in systems that are hard to understand, debug and maintain. Architectures are common means for organising coordination between components in order to build complex systems and make them manageable. They allow thinking on a higher plane and avoiding low-level mistakes. Grouping architectures that share common characteristics into architecture styles assists component re-use and thus, the cost-effective development of systems. Additionally, architecture styles provide means for ensuring correctness-by-construction by enforcing global properties. The main goal of this thesis is to propose and study formalisms for modelling architectures and architecture styles. For the specification of architectures, we study interaction logics, which are Boolean algebras on a set of component actions. We study a modelling methodology based on first-order interaction logic for writing architecture constraints. To validate the applicability of the approach, we developed the JavaBIP framework that integrates architectures into mainstream software development. JavaBIP receives as input architecture specifications, which it then uses to coordinate software components without requiring access to their source code. JavaBIP implements the principles of the BIP component framework. For the specification of architecture styles, we propose configuration logics, which are powerset extensions of interaction logic. Propositional configuration logic formulas are generated from formulas of interaction logic by using the operators union, intersection and complementation, as well as a coalescing operator. We provide a complete axiomatisation of the propositional configuration logic and a decision procedure for checking that an architecture satisfies given logical specifications. To allow genericity of specifications, we study higher-order extensions of the propositional configuration logic. We provide several examples illustrating the application of configuration logics to the characterisation of architecture styles. For the specification of architecture styles, we also propose architecture diagrams, which is a graphical language rooted in rigorous semantics. We provide methods to assist software developers to specify consistent architecture diagrams, generate the conforming architectures of a style and check whether an architecture model meets given style requirements. We present a full encoding of architecture diagrams into configuration logics. Finally, we report on applications of architecture diagrams to modelling architecture styles identified in realistic case studies of on-board satellite software