The Object Management Group's (OMG) Model Driven Architecture (MDA) strategy envisages a world where models play a more direct role in software production, being amenable to manipulation and transformation by machine. Model Driven Engineering (MDE) is wider in scope than MDA. MDE combines process and analysis with architecture. This article sets out a framework for model driven engineering, which can be used as a point of reference for activity in this area. It proposes an organisation of the modelling 'space' and how to locate models in that space. It discusses different kinds of mappings between models. It explains why process and architecture are tightly connected. It discusses the importance and nature of tools. It identifies the need for defining families of languages and transformations, and for developing techniques for generating/configuring tools from such definitions. It concludes with a call to align metamodelling with formal language engineering techniques.

Model Driven Engineering

Meta-analytic procedures for social research

Context A Multivocal Literature Review (MLR) is a form of a Systematic Literature Review (SLR) which includes the grey literature (e.g., blog posts, videos and white papers) in addition to the published (formal) literature (e.g., journal and conference papers). MLRs are useful for both researchers and practitioners since they provide summaries both the state-of-the art and –practice in a given area. MLRs are popular in other fields and have recently started to appear in software engineering (SE). As more MLR studies are conducted and reported, it is important to have a set of guidelines to ensure high quality of MLR processes and their results. Objective There are several guidelines to conduct SLR studies in SE. However, several phases of MLRs differ from those of traditional SLRs, for instance with respect to the search process and source quality assessment. Therefore, SLR guidelines are only partially useful for conducting MLR studies. Our goal in this paper is to present guidelines on how to conduct MLR studies in SE. Method To develop the MLR guidelines, we benefit from several inputs: (1) existing SLR guidelines in SE, (2), a literature survey of MLR guidelines and experience papers in other fields, and (3) our own experiences in conducting several MLRs in SE. We took the popular SLR guidelines of Kitchenham and Charters as the baseline and extended/adopted them to conduct MLR studies in SE. All derived guidelines are discussed in the context of an already-published MLR in SE as the running example. Results The resulting guidelines cover all phases of conducting and reporting MLRs in SE from the planning phase, over conducting the review to the final reporting of the review. In particular, we believe that incorporating and adopting a vast set of experience-based recommendations from MLR guidelines and experience papers in other fields have enabled us to propose a set of guidelines with solid foundations. Conclusion Having been developed on the basis of several types of experience and evidence, the provided MLR guidelines will support researchers to effectively and efficiently conduct new MLRs in any area of SE. The authors recommend the researchers to utilize these guidelines in their MLR studies and then share their lessons learned and experiences.

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Guidelines for including grey literature and conducting multivocal literature reviews in software engineering

Model-Driven Development requires model management languages and tools for supporting model operations such as editing, consistency checking, and transformation. At the core of these model management techniques is a set of facilities for model navigation and modification. A subset of the Object Constraint Language can be used for some of these tasks, but it has limitations as a general-purpose language to be used in a variety of model management tasks. We present the metamodel independent Epsilon Object Language (EOL) which builds on OCL. EOL can be used both as a standalone generic model management language or as infrastructure on which task-specific languages can be built. We describe how it has been used to construct a selection of languages, such as model merging, comparison, and text generation languages.

The epsilon object language (EOL)

KeY is a tool that provides facilities for formal specification and verification of programs within a commercial platform for UML based software development. Using the KeY tool, formal methods and object-oriented development techniques are applied in an integrated manner. Formal specification is performed using the Object Constraint Language (OCL), which is part of the UML standard. KeY provides support for the authoring and formal analysis of OCL constraints. The target language of KeY based development is Java Card DL, a proper subset of Java for smart card applications and embedded systems. KeY uses a dynamic logic for Java Card DL to express proof obligations, and provides a state-of-the-art theorem prover for interactive and automated verification. Apart from its integration into UML based software development, a characteristic feature of KeY is that formal specification and verification can be introduced incrementally.

The KeY tool

Context Systematic mapping studies are used to structure a research area, while systematic reviews are focused on gathering and synthesizing evidence. The most recent guidelines for systematic mapping are from 2008. Since that time, many suggestions have been made of how to improve systematic literature reviews (SLRs). There is a need to evaluate how researchers conduct the process of systematic mapping and identify how the guidelines should be updated based on the lessons learned from the existing systematic maps and SLR guidelines. Objective To identify how the systematic mapping process is conducted (including search, study selection, analysis and presentation of data, etc.); to identify improvement potentials in conducting the systematic mapping process and updating the guidelines accordingly. Method We conducted a systematic mapping study of systematic maps, considering some practices of systematic review guidelines as well (in particular in relation to defining the search and to conduct a quality assessment). Results In a large number of studies multiple guidelines are used and combined, which leads to different ways in conducting mapping studies. The reason for combining guidelines was that they differed in the recommendations given. Conclusion The most frequently followed guidelines are not sufficient alone. Hence, there was a need to provide an update of how to conduct systematic mapping studies. New guidelines have been proposed consolidating existing findings.

Guidelines for conducting systematic mapping studies in software engineering : An update

This survey of the workshop series Consistency Problems in UML-based Software Development aims to help readers to find the guidelines of the papers. First, general considerations about consistency and related problems are discussed. Next, the approaches proposed in the workshop papers to handle the problems are categorized and summarized. The last section includes extended abstracts of the papers from the current workshop.

Consistency problems in UML-based software development

Empirical assessment of using stereotypes to improve comprehension of UML models: A set of experiments

Stereotypes were introduced into the Unified Modeling Language (UML) to provide means of customizing this visual, general purpose, object-oriented modeling language, for its usage in specific application domains. The primary purpose of stereotypes is to brand an existing model element with a specific semantics. In addition, stereotypes can also be used as notational shorthand. The paper elaborates on this role of stereotypes from the perspective of UML, clarifies the role and describes a controlled experiment aimed at evaluation of the role - in the context of model understanding. The results of the experiment support the claim that stereotypes with graphical icons for their representation play a significant role in comprehension of models and show the size of the improvement.

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An empirical study on using stereotypes to improve understanding of UML models

Workshop materials of the Second Workshop on Consistency Problems in UML-based Software Development. The workshop is part of the Sixth International Conference on The Unified Modeling Language > 2003

Ludwik Kuzniarz

Papers

Guidelines for conducting systematic mapping studies in software engineering : An update

Consistency problems in UML-based software development

Empirical assessment of using stereotypes to improve comprehension of UML models: A set of experiments

An empirical study on using stereotypes to improve understanding of UML models

Workshop on "Consistency Problems in UML-based Software Development II"