MAFCOG 1.0A Generic code generator for Mathematical Functions

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.. ,,- r- r- r: r: "... i MA FCOG 1.0 A Generic CCNk Generator For Mathematical Functions problem; the ideal use of such abstract, domain specific operators and operands in expressions that compose many such operations together. [2] Even w-nen developers have recurring computer-readable metadata to process and a clear idea of how code should by structured, they can still find themselves in need of a technique to automatically generate me code for the mathematical formula :.J avoid the drudge work of repeatedly writing and tweaking it. Generative programming is a technique that addresses this problem. Using generative programming techniques, any developer can solve matcernatical problems in families, rather than individually, saving time and coding effort. This article describes these techniques using MAFCOG 1.0, and builds a sample template-driven code generator for mathernaticz l expression. [ 4] Applying generative programming produces implementation code from three things: • A Deans of specifying family members, • The implementation components from which members can be assern r-led, the configuration knowledge mapping between a specification of a member and a finished member. In other words, generative programming builds implerr. entations from the code patterns and lower-level components, and the metadata that brings r::e two together. [1,3] • MAFCt)G 1.0 is a tool provided to the user to generate the code for the specifiec language. 1.2. Tool Description Code Generators are programs that automatically generate high-level code(Java, C, C-+ etc). These tools range .~\ l' . ., . 362 in size and complexity. There are two types of code generators: active and passive. Active model maintain the code generated by the generator long term. Passive models create the initial code, and then it is the responsibility of the engineer to maintain it. A typical example of a passive code generator is a wizard. MAFCOG 1.0 will be the ideal tool for professionals who need quick solution to . technical problems. If user knows the mathematical formula and the platform in which the formula solution required to be developed (Java, C++ etc) MAFCOG 1.0 lets him to add evaluation of mathematical expression to his/her application easily. It should support 7 operators (including Parenthesis), 10 mathematical functions, 10-15 users defined variables and provides complete error handling support. MAFCOG 1.0 is a template driven code generation product that streamlines the application development process and. slashes development time.· Using breakthrough, template-driven technology 2. 0 OVERVIEW MAFCOG 1.0 will help Java developers create sophisticated code for mathematical functions faster, more efficiently and more economically. Code templates provided are Developer modifiable. The benefits provided by MAFCOG 1.0 approach include higher developer productivity, better software quality, and lower maintenance costs. 2.1 Measurable Productivity Gains Generating code by definition is always going to be much faster than hand coding. The productivity gain when writing the mathematical code is at least 70%, with the coding part of the design, code, and test cycle eliminated.
2.~ Higher Quality: v , '"" Generated code is error free and well designed." Development teams are more consistent. Automatic code generation ensures that software developers are more likelv to be focused on the business requirements than the more mundane task of coding. 2.3 Lower Maintenance Costs: .,' The code generated by MAFCOG 1.0 will be very easy to understand and therefore easier to maintain. The true long-term value of code generation emerges when there are new" business requirements. Ongoing maintenance costs are reduced because it is easier to regenerate code than to make manual code changes. There are two ";:primary components used in MAFCOG 1.0 • Formula Parsing engine • Code generation engine The Formula Parsing engine is a platform that hosts grammar files (called JJ files) with the help of which, actual formula parsing can be done. There are a variety of grammar files that you can plug in to the engine to generate code a particular way. Code generation engine implements a template-based" approach that allows to specify the architectural aspects of the code under construction. To do this, it provides a specific Meta Model. it comprises a set of rules for formula code generation on how to read formula, splitting them into tokens, interpret them, get the rules from defined templates and extract information from them to generate code. The meta model planner then matches parts and also provides the paths and directions needed when creating a new template. 3.0 HO'V MAFCOG 1.0 GENERATES CODE? National Conference on Computing and Applications 363 The following describes the process used by MAFCOG 1,0 engine to generate code. Details of each step follow this section. Figl.1 :\1AFCOGl.O Processes 3.1 Formula Parsing And Validation The formula provided by the user wi 11 be parsed and validated against the defined grammar. The tokens from the formula are split up into tokens and the information is extracted to generate the code. 3.2 Xt\fL Template Parsing And Rules Generation Formula Parsing engine will provide the input to XML parser, which is a ruleexpanding planner, implemented in Java. Rules have associated constraints that can refer to knowledge bases (templates) that are constructed from the input to the generator. the planner matches parts of this input to select appropriate templates (i.e., partial derivation trees) and then parse the templates, generate rules and fills them with data from the input. . 3.3 Code Generation This is where the heavy lifting happens. This involves reading the XML rules, selecting the appropriate data; bind it into a proper format. More than one template can be used to generate code for any given class; the default templates may be used, or a customized version may be used, depending on configuration. 4. 0 MAFCOG 1.0 ARCHITECTURE: As shown in Figure 1.2, MAFCOG 1.0 typically contains three layers Formula j
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MAFCOG 1.0A Generic code generator for Mathematical Functions

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