Enterprise Experience into the Integration of Human-Centered Design and Kanban

he integration of Human-Centered Design (HCD) and Agile Software Development (ASD) promises the development of competitive products comprising a good User Experience (UX). This study has investigated the integration of HCD and Kanban with the aim to gain industrial experiences in a real world context. A case study showed that requirements flow into the development process in a structured manner by adding a design board. To this end, the transparency concerning recurring requirements increased. We contribute to the body of knowledge of software development by providing practical insights into Human-Centered Agile Development (HCAD). On one hand, it is shown that the integration of HCD and Kanban leads to a product with a good UX and makes the development process more human-centered. On the other hand, we conclude that a cross-functional collaboration speeds up product development.Ministerio de Economía y Competitividad TIN2013-46928-C3-3-RMinisterio de Economía y Competitividad TIN2015-71938-RED

A Framework to Evaluate Software Developer’s Productivity The VALORTIA Project

Currently, there is a lack in companies developing software in relation to assessing their staff’s productivity before executing software projects, with the aim of improving effectiveness and efficiency. QuEF (Quality Evaluation Framework) is a framework that allows defining quality management tasks based on a model. The main purpose of this framework is twofold: improve an entity’s continuous quality, and given a context, decide between a set of entity’s instances on the most appropriate one. Thus, the aim of this paper is to make this framework available to evaluate productivity of professionals along software development and select the most appropriate experts to implement the suggested project. For this goal, Valortia platform, capable of carrying out this task by following the QuEF framework guidelines, is designed. Valortia is a platform to certify users' knowledge on a specific area and centralize all certification management in its model by means of providing protocols and methods for a suitable management, improving efficiency and effectiveness, reducing cost and ensuring continuous quality.Ministerio de Ciencia e Innovación TIN2013-46928-C3-3-

QuESo: A quality model for open source software ecosystems

© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Open source software has witnessed an exponential growth in the last two decades and it is playing an increasingly important role in many companies and organizations leading to the formation of open source software ecosystems. In this paper we present a quality model that will allow the evaluation of those ecosystems in terms of their relevant quality characteristics such as health or activeness. To design this quality model we started by analysing the quality measures found during the execution of a systematic literature review on open source software ecosystems and, then, we classified and reorganized the set of measures in order to build a solid quality model.Peer ReviewedPostprint (author's final draft

Cognitive computing meets the internet of things

Abstract: This paper discusses the blend of cognitive computing with the Internet-of-Things that should result into developing cognitive things. Today’s things are confined into a data-supplier role, which deprives them from being the technology of choice for smart applications development. Cognitive computing is about reasoning, learning, explaining, acting, etc. In this paper, cognitive things’ features include functional and non-functional restrictions along with a 3 stage operation cycle that takes into account these restrictions during reasoning, adaptation, and learning. Some implementation details about cognitive things are included in this paper based on a water pipe case-study

Model-driven Test Engineering: A Practical Analysis in the AQUA-WS Project

The effective application of test phases has been one of the most relevant, critical and cost phases in the life cycle of software projects in the last years. During the test phase, the test team has to assure the quality of the system and the concordance with the initial requirements of the system. The model driven paradigm is offering suitable results in some areas and the test phase could be one of them. This paper presents how the application of this paradigm can help to improve this aspect in the functional test generation and it analyses the experience in a real project developed under this approach.Ministerio de Ciencia e Innovación TIN2010-20057-C03-02Ministerio de Ciencia e Innovación TIN 2010-12312-EJunta de Andalucía TIC-578

Geant4 Maintainability Assessed with Respect to Software Engineering References

We report a methodology developed to quantitatively assess the maintainability of Geant4 with respect to software engineering references. The level of maintainability is determined by combining a set of metrics values whose references are documented in literature.Comment: 5 pages, 2 figures, 4 tables, IEEE NSS/MIC 201

Normalization of Unstructured Log Data into Streams of Structured Event Objects

Monitoring plays a crucial role in the operation of any sizeable distributed IT infrastructure. Whether it is a university network or cloud datacenter, monitoring information is continuously used in a wide spectrum of ways ranging from mission-critical jobs, e.g. accounting or incident handling, to equally important development-related tasks, e.g. debugging or fault-detection. Whilst pursuing a novel vision of new-generation event-driven monitoring systems, we have identified that a particularly rich source of monitoring information, computer logs, is also one of the most problematic in terms of automated processing. Log data are predominantly generated in an ad-hoc manner using a variety of incompatible formats with the most important pieces of information, i.e. log messages, in the form of unstructured strings. This clashes with our long-term goal of designing a system enabling its users to transparently define real-time continuous queries over homogeneous streams of properly defined monitoring event objects with explicitly described structure. Our goal is to bridge this gap by normalizing the poorly structured log data into streams of structured event objects. The combined challenge of this goal is structuring the log data, whilst considering the high velocity with which they are generated in modern IT infrastructures. This paper summarizes the contributions of a dissertation thesis "Normalization of Unstructured Log Data into Streams of Structured Event Objects" dealing with the matter at hand in detail