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EN
Performance is the key usability attribute. Application performance is affected by its constituent components such as scripts, image files, and libraries. The objective of the paper is to analyse the impact of source code decompression on the performance of a map application. It focuses on two research questions. RQ1: what is the effect of source code decompression through unminification on the map application performance; and RQ2: does an application with a decompressed source code exhibit the primary (initial) performance? A prototype map application was developed to tackle the questions. Three application variants were prepared: 1) basic, 2) minified (compressed), and 3) decompressed (unminified source code). All three variants had their performance tested. The results were juxtaposed. New notions were introduced: primary performance, secondary performance, and code recycling. It was demonstrated that the secondary performance was a compromise between the primary performance and code clarity (readability).
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Content available remote A model-driven approach to Microservice Software Architecture establishment
EN
In this positional paper we propose a model-driven approach which addresses challenges related to modeling, development and deployment of software applications that follow the microservice architecture (MSA) design principles. We argue in favor of a model-driven tool which can be used to resolve challenges from the MSA establishment domain by providing a domain-specific language for MSA modeling and code generators for producing: (i) program and configuration code for MSA implementation; and (ii) program procedures for MSA building, packaging and installation. We give a brief description of two approaches to software application development which emerged in the last decade: the monolithic architecture approach and the MSA approach. We focus on challenges related to MSA establishment and argue that our model-driven approach could be suitable for their resolution. We also propose a plan of research activities aimed at improving our approach and which will lead to the final implementation of a model-driven tool to support such an approach.
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