practical advantages of declarative programming
As examples, we manipulate lists and trees, program several numerical algorithms, and implement the alpha-beta heuristic (an algorithm from Artificial Intelligence used in game-playing programs). We will illustrate this with some examples. To receive the allowance a person has to meet several criteria such as age > 18 and income < 2400. Funky grooves: Declarative programming of fullfledged musical applications. Proceedings of the Fifth International Conference on Computational Models of Argument (COMMA 2014). lÜuØª1ò±AqÏ«â À¥QÕõŠPÂaƒQfsÚi/‚ ze=ÏuÓØÛŸÓ†Ï¨��‚È“¤tœ|¤� &8IÄÂe˜�˜E Proceedings of the 27th symposium on Implementation and Application of Functional Languages (IFL 2015). PY - 1994. By encoding and thereby recording the business model into a set of declarative statements it becomes easier to spot irregularities in the business logic as the business logic reads more like the description of the business model and all invariants are visible. Implementation and Application of Functional Languages: 20th International Symposium, IFL 2008, Revised Selected Papers. We are reaching limits of what is feasible with imperative languages and we should move to declarative languages. To summarise 4 reasons why you should switch to declarative languages: And 3 reasons why you should use DSLs to boot: Lloyd, J.W., Practical Advantages of Declarative Programming, Direct translation of the business model into business logic, Better scalability for the program in terms of functionality, Free up programmers to do important stuff. Dr Nilsson's research interests include design, semantics, and implementation of programming languages, especially functional languages and declarative languages for hybrid modelling and simulation. A solution to this is to avoid the translation process by using a declarative language. The compiler can provide feedback when something is wrong in the DSL and there is less chance for errors in the implementation of the business logic. Trends in Functional Programming: Volume 7. This is going to happen despite the best intentions of the programmer to keep things clean. NIELSEN, T.A., NILSSON, H. and MATHESON, T.. Types in Language Design and Implementation. A simple DSL embedding the idea of the allowance could look like the text in the examples below. AADEBUG '95, 2nd Internatinal Workshop on Automated and Algorithmic Debugging. In this sense we can compare the validation to a spell-checker or JSLint but for our specific domain. Proceedings of the Fourteenth International Symposium on Practical Aspects of Declarative Languages (PADL 2012). Constraint programming states relations between variables in the form of constraints that specify the properties of the target solution. Mastering declarative constructs and functional composition is a must for any contemporary … Each line is a condition that has to hold, so we could read an “AND” at eacht line end. Secondly the programmer cannot make mistakes in the translation of the business logic to imperative code. Let the domain-experts handle the business logic and have it machine-checked. Trends in Functional Programming: 11th International Symposium, TFP 2010, Norman, OK, USA, May 2010, Revised Selected Papers. This has two benefits: the translation is consolidated in one single point (the interpreter) and can be verified or even proven to be correct. ATTALI, I., CAROMEL, D., COURBIS, C., HENRIO, L. and NILSSON, H.. IFIP Fourth Working Conferenc on Smart Card Research and Advanced Applications. This is done because either they do not see that a more drastic change is necessary or because they are under pressure to deliver results. Dr Nilsson has been involved in the design and implementation of DSLs in the Functional Reactive Programming (FRP) family, with the aim of making the advantages of modern functional programming languages available for programming reactive systems, such as autonomous robots. In this manner the programmer no longer tells the computer how to perform a computation but rather what the computation should be. In order to get the imperative code the programmer has to translate the business model to a set of imperative instructions, the business logic. Proceedings of the 5th International Workshop on Equation-Based Object-Oriented Modelling Languages and Tools (EOOLT 2014). Why? ACM SIGPLAN 2002 Haskell Workshop, Pittsburgh, Pennsylvania, 3 October 2002. Because the business-logic is now represented by the DSL it can be written by domain experts instead of the programmers of the application itself. Currently Dr. Nilsson is interested in exploiting fundamental conceptual similarities between FRP and Modelica-like languages with the aim of designing a truly declarative language for hybrid modelling and simulation, combining the advantages of functional programming and non-causal modelling. Testing and Debugging Functional Reactive Programming, Tracking tracer motion in a 4-D electrical resistivity tomography experiment, Functional reactive programming, refactored, Bridging the GUI Gap with Reactive Values and Relations, Declarative Modelling for Bayesian Inference by Shallow Embedding, An Investigation Into the Use of Haskell for Dynamic Programming, Structural types for systems of equations: Type refinements for structurally dynamic first-class modular systems of equations, A formal mathematical framework for physiological observations, experiments and analyses, Towards a Formal Semantics for a Structurally Dynamic Noncausal Modelling Language, Static Balance Checking for First-Class Modular Systems of Equations, Embedding a Functional Hybrid Modelling Language in Haskell, Keeping calm in the face of change: towards optimisation of FRP by reasoning about change, Exploiting structural dynamism in Functional Hybrid Modelling for simulation of ideal diodes, Safe functional reactive programming through dependent types, Higher-order non-causal modelling and simulation of structurally dynamic systems, Dynamic optimization for functional reactive programming using generalized algebraic data types, Functional automatic differentiation with Dirac impulses, Functional reactive programming, continued, How to look busy while being as lazy as ever: the implementation of a lazy functional debugger, An integrated development environment for Java Card, The evaluation dependence tree as a basis for lazy functional debugging.
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