A Model Driven Approach for Refactoring Heterogeneous Software Artefacts

Refactoring is the process of transforming a software system to improve its overall structure while preserving its observable behaviour. Refactoring engines are normally used to perform these transformations for efficiency and in order to avoid introducing behavioural changes into the program due to human error. Although these engines do not verify that behaviour is preserved, it is widely accepted that automated transformations are less likely to introduce errors in comparison to manual refactoring. Despite the advantages provided by refactoring engines they fall foul of certain weaknesses. Here we hypothesise that Model Driven Engineering can be used to produce improved refactoring engines that are less vulnerable to those weaknesses. We develop a Domain Specific Transformation Language for defining new composite refactorings from a set of built–in primitives and to script their application. We also develop an interpreter for the language, effectively providing an operational semantics, in the guise of an extensible transformation framework. We evaluate our approach with a case study examining the correlation between actual and predicted measurements of the Coupling Between Objects metric for classes that undergo the extract class refactoring. The results show that our approach is promising

Towards maintainer script modernization in FOSS distributions

Free and Open Source Software (FOSS) distributions are complex software systems, made of thousands packages that evolve rapidly, independently, and without centralized coordination. During packages upgrades, corner case failures can be encountered and are hard to deal with, especially when they are due to misbehaving maintainer scripts: executable code snippets used to finalize package configuration. In this paper we report a software modernization experience, the process of representing existing legacy systems in terms of models, applied to FOSS distributions. We present a process to define meta-models that enable dealing with upgrade failures and help rolling back from them, taking into account maintainer scripts. The process has been applied to widely used FOSS distributions and we report about such experiences

Discovering Business Models for Software Process Management - An Approach for Integrating Time and Resource Perspectives from Legacy Information Systems

Business Process Management (BPM) is becoming the modern core to support business in all type of organizations and software business is not an exception. Software companies are often involved in important and complex collaborative projects carried out by many stakeholders. Each actor (customers, suppliers or government instances, among others) works with individual and shared processes. Everyone needs dynamic and evolving approaches for managing their software projects lifecycle. Nevertheless, many companies still use systems that are out of the scope of BPM for planning and control projects and managing enterprise content (Enterprise Content Management, ECM) as well as all kinds of resources (ERP). Somehow systems include scattered artifacts that are related to BPM perspectives: control and data flow, time, resource and case, for example. It is aimed to get interoperable BPM models from these classical Legacy Information Systems (LIS). Model-Driven Engineering (MDE) allows going from application code to higher-level of abstraction models. Particularly, there are standards and proposals for reverse engineering LIS. This paper illustrates LIS cases for software project planning and ECM, looking at time and resource perspectives. To conclude, we will propose a MDE-based approach for taking out business models in the context of software process management.Ministerio de Economía y Competitividad TIN2013-46928-C3-3-

A Comparison of Model Migration Tools

International audienceModelling languages and thus their metamodels are subject to change. When a metamodel evolves, existing models may no longer conform to the evolved metamodel. To avoid rebuilding them from scratch, existing models must be migrated to conform to the evolved metamodel. Manually migrating existing models is tedious and errorprone. To alleviate this, several tools have been proposed to build a migration strategy that automates the migration of existing models. Little is known about the advantages and disadvantages of the tools in different situations. In this paper, we thus compare a representative sample of migration tools - AML, COPE, Ecore2Ecore and Epsilon Flock - using common migration examples. The criteria used in the comparison aim to support users in selecting the most appropriate tool for their situation

Engineering Delta Modeling Languages

Delta modeling is a modular, yet flexible approach to capture spatial and temporal variability by explicitly representing the differences between system variants or versions. The conceptual idea of delta modeling is language-independent. But, in order to apply delta modeling for a concrete language, so far, a delta language had to be manually developed on top of the base language leading to a large variety of heterogeneous language concepts. In this paper, we present a process that allows deriving a delta language from the grammar of a given base language. Our approach relies on an automatically generated language extension that can be manually adapted to meet domain-specific needs. We illustrate our approach using delta modeling on a textual variant of statecharts.Comment: 10 pages, 8 figures. Proceedings of the 17th International Software Product Line Conference, Tokyo, September 2013, pp.22-31, ACM, 201