SDK4ED:Software Development toolKit for Energy optimization and technical Debt elimination
Type of action: RIA
Call identifier: H2020-ICT-2016-2017
The Software Engineering Group, of the Software and Data Engineering Laboratory, of the Department of Applied Informatics at the University of Macedonia, proudly announces its participation in the SDK4ED consortium.
The vision of SDK4ED is to minimize cost, time and complexity of low-energy software development processes, by providing tools for automatic optimization of both software quality and non-functional requirements such as energy efficiency, dependability and performance, with the capacity to tackle the interplay between design quality and run-time constraints.
SDK4ED aims to realise its vision through the following objectives: – establish a set of methods and tools for monitoring processes for early identification of design flaws, energy consumption indicators, and security vulnerabilities, with respect to the targeted hardware platform and non-functional requirements – estimate the costs and limitations associated to technical debt (TD) liabilities in the entire software stack – provide toolboxes for assessing project management decisions with respect to the choices of repaying TD, under the constraints imposed on energy consumption and security – deploy the envisaged solutions in three industry-driven distinctive but complementary use cases in the domains of airborne systems, healthcare, and automotive industry – Illustrate the importance and benefits introduced by proper TD management into low-energy software application development – train and consult the embedded software systems industry.
Through its envisaged toolboxes, SDK4ED will comprise a set of software programming add-ons for preventing the degradation of run-time qualities and especially energy consumption, while allowing for efficient measuring of the accumulated TD during the development of new low-energy computing software applications, including embedded systems and IoT products. The major expected impact of the proposed platform will be measured by the achieved improvement in productivity, the extent to which the envisaged tools will be adopted by the reference market and the minimisation of effort for adopting digital technologies into low-energy products and services.
We are glad to announce that the paper “The relation between technical debt and corrective maintenance in PHP web applications” by T. Amanatidis, A. Chatzigeorgiou and A. Ampatzoglou has been accepted for publication in the Information and Software Technology journal
We are very glad to announce that the paper “A Mapping Study on Design-Time Quality Attributes and Metrics” (by Elvira Maria Arvanitou, Apostolos Ampatzoglou, Alexander Chatzigeorgiou, Matthias Galster, and Paris Avgeriou) has been accepted for publication at the Journal of Systems and Software
We are very glad to announce that the paper ““Identifying Extract Method Refactoring Opportunities based on Functional Relevance”” (by Sofia Charalampidou, Apostolos Ampatzoglou, Alexander Chatzigeorgiou, Antonios Gkortzis and Paris Avgeriou) has been accepted for publication at the IEEE Transactions on Software Engineering
Abstract—‘Extract Method’ is considered one of the most frequently applied and beneficial refactorings, since the corresponding Long Method smell is among the most common and persistent ones. Although Long Method is conceptually related to the implementation of diverse functionalities within a method, until now, this relationship has not been utilized while identifying refactoring opportunities. In this paper we introduce an approach (accompanied by a tool) that aims at identifying source code chunks that collaborate to provide a specific functionality, and propose their extraction as separate methods. The accuracy of the proposed approach has been empirically validated both in an industrial and an open-source setting. In the former case, the approach was capable of identifying functionally related statements within two industrial long methods (approx. 500 LoC each), with a recall rate of 93%. In the latter case, based on a comparative study on open-source data, our approach ranks better compared to two well-known techniques of the literature. To assist software engineers in the prioritization of the suggested refactoring opportunities the approach ranks them based on an estimate of their fitness for extraction. The provided ranking has been validated in both settings and proved to be strongly correlated with experts’ opinion
We are glad to announce that the Software Engineering Group together with Yummy Software have been awarded the 1st prize of the “Cooperate” competition in the context of the 2016 Technology Forum that took place in Thessaloniki, Greece on May 18, 2016.
The prize has been awarded for the “YummyWallet” mobile app that blends the advantages of state-of-the-art payment technologies with money savings.