Advances in model driven software engineering

Empirical evidence shows that the use of model driven software engineering can result in an up to 10-fold quality improvement and decreased development time. Researchers from Eindhoven University of Technology tested this on a detector control system at CERN. This brings Turing’s vision of software another step closer

Software engineering : redundancy is key

Software engineers are humans and so they make lots of mistakes. Typically 1 out of 10 to 100 tasks go wrong. The only way to avoid these mistakes is to introduce redundancy in the software engineering process. This article is a plea to consciously introduce several levels of redundancy for each programming task. Depending on the required level of correctness, expressed in a residual error probability (typically 10-3 to 10-10), each programming task must be carried out redundantly 4 to 8 times. This number is hardly influenced by the size of a programming endeavour. Training software engineers does have some effect as non trained software engineers require a double amount of redundant tasks to deliver software of a desired quality. More compact programming, for instance by using domain specific languages, only reduces the number of redundant tasks by a small constant

Extracting mathematical semantics from LaTeX documents

We report on a project to use SGLR parsing and term rewriting with ELAN4 to extract the semantics of mathematical formulas from a LaTeX document and representing them in MathML. The LaTeX document we used is part of the Digital Library of Mathematical Functions (DLMF) project of the US National Institute of Standards and Technology (NIST) and obeys project-specific conventions, which contains macros for mathematical constructions, among them 200 predefined macros for special functions, the subject matter of the project. The SGLR parser can parse general context-free languages, which suffices to extract the structure of mathematical formulas from calculus that are written in the usual mathematical style, with most parentheses and multiplication signs omitted. The parse tree is then rewritten into a more concise and uniform internal syntax that is used as the base for extracting MathML or other semantical information

Extracting mathematical semantics from LaTeX documents

We report on a project to use SGLR parsing and term rewriting with ELAN4 to extract the semantics of mathematical formulas from a LaTeX document and representing them in MathML. The LaTeX document we used is part of the Digital Library of Mathematical Functions (DLMF) project of the US National Institute of Standards and Technology (NIST) and obeys project-specific conventions, which contains macros for mathematical constructions, among them 200 predefined macros for special functions, the subject matter of the project. The SGLR parser can parse general context-free languages, which suffices to extract the structure of mathematical formulas from calculus that are written in the usual mathematical style, with most parentheses and multiplication signs omitted. The parse tree is then rewritten into a more concise and uniform internal syntax that is used as the base for extracting MathML or other semantical information

Development of parsing tools for Casl using generic language technology

An environment for the Common Algebraic Specification Language CASL consists of independent tools. A number of CASL have been built using the algebraic formalism ASF+SDF and the+SDF Meta-Environment. CASL supports-defined syntax which is non-trivial to: ASF+SDF offers a powerful parsing(Generalized LR). Its interactive environment facilitates rapid complemented by early detection correction of errors. A number of core developed for the ASF+SDF-Environment can be reused in the context CASL. Furthermore, an instantiation of a format developed for the representation ASF+SDF specifications and terms provides a-specific exchange format

Version control of graphs

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Metrics for analyzing the quality of model transformations

Model transformations become increasingly important with the emergence of model driven engineering of, amongst others, objectoriented software systems. It is therefore necessary to define and evaluate the quality of model transformations. The goal of our research is to make the quality of model transformations measurable. This position paper presents the first results of this ongoing research. We present the quality attributes we have identified thus far and a set of metrics to assess these quality attributes