By Timothy Budd
Offers the result of an research into the problems raised via the improvement of a compiler for APL, a really excessive point desktop programming language. APL provides a host of novel difficulties for a compiler author: vulnerable variable typing, run time alterations in variable form, and a number of primitive operations. throughout the integration of a number of lately constructed compiler development innovations, akin to information stream research, and a singular and area effective call for pushed or lazy overview method of code iteration, the writer has been capable of produce a real compiler for the language whereas nonetheless preserving the felxibility and straightforwardness which are the hallmarks of APL.
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So it is important to realize that early decisions, such as what data to collect, how to collect them, how to analyze them, and how to act upon them will have influence on the feedback process. In other words: Feedback will not contribute to improvement if the wrong data are collected, if analysis is not done correctly or the employees in the organization do not believe that the data will be used in a constructive way. The purpose of the planning activities is therefore to make a plan for the actual measurements and for the feedback activities.
If we collect data not used for anything, the participants will soon discover that the importance of the collected data is relatively small. This can influence the attitude towards the rest of the data collection. Such a contamination of attitude will only happen when the data is collected manually – not when automatic collection is used. When data is collected we must remember that the purpose is to improve the process. We are not supposed to control individuals. If we collect data on individuals in order to measure their output, we must expect to get the answers we deserve – made-up data that are useful for the individuals.
In feedback meetings suggestions for improvement will usually turn up. Some of these may already be relevant in the on-going improvement project, for example adjustments to the project plan or to the development process. Suggestions may also be made for more long-term improvements. We will take a closer look at them during the post mortem analysis of the project. The following tools may be useful when going through the steps in the planning phase: Brainstorming, KJ/Affinity Diagram, GQM Abstraction Sheet, Spreadsheet including Statistical Module, Simple Database.