Likert scales and statistics
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The document discusses the Likert scale and provides an example. A Likert scale was used to rate user responses to the UI of Wikipedia from 1 to 5. The mean response of 3.6 was calculated, indicating that users almost agreed with the UI. Various types of variables are also defined, including categorical, ordinal, interval and ratio, and the appropriate statistical analyses for each are identified.
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Data analysis presentation by Jameel Ahmed Qureshi
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The document discusses proposed changes to iStarML 2.0 to address requirements that have evolved for i* modeling. These include supporting new iStar 2.0 element types like qualities, refinement, and neededby relationships. Additional changes are proposed to improve scalability through attributes for hiding elements, and to enable model analysis by adding metrics tags for elements. The proposed iStarML 2.0 changes aim to close gaps between the iStar modeling language and its XML representation.
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Ossap final
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The document presents a model-based approach to align business goals and risks in open source software (OSS) adoption. It introduces a 3-layer approach to gather data on OSS projects and communities, identify risk indicators, and perform business analysis. It proposes integrating goal models and risk models using a foundational ontology to relate their concepts. The document demonstrates aligning an example business goal model with a risk model and analyzing how identified risks could impact business goals. Future work is outlined to refine the alignment process and further validate the approach.
Jcis 2015-Towards Assessing Open Source Communities' Health using SOC Concepts
Quality of an open source software ecosystem (OSS ecosystem) is key for di erent ecosystem actors such as contributors or adopters. In fact, the consideration of several quality aspects(e.g., activeness, visibility, interrelatedness, etc.) as a whole may provide a measure of the healthiness of OSS ecosystems. The more health a OSS ecosystem is, the
more and better contributors and adopters it will gather. Some research tools have been developed to gather speci c quality information from open source community data sources. However, there exist no frameworks available that can be used to evaluate their quality as a whole in order to obtain the health of an OSS ecosystem. To assess the health of these ecosystems, we propose to adopt robust principles and methods from the Service Oriented Computing field.
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El documento presenta el proyecto RISCOSS, el cual desarrolla una metodología y plataforma de software para gestionar los riesgos asociados con la adopción de software de código abierto. La plataforma permite identificar, analizar y mitigar riesgos a través de la recolección y análisis de datos de proyectos y comunidades de código abierto. Se muestra una demostración de las funcionalidades básicas de la plataforma RISCOSS.
Open expo2015 riscoss
Presentación de la metodología de gestión de riesgos en la adopción de proyectos OSS y la plataforma software que integra toda la cadena de toma de decisiones, teneinendo en cuenta criterios tecnológicos y estratégicos. Incluyendo métodos para identificar, gestionar y mitigar riesgos asociados con la integración de software open source. El proyecto RISCOSS (FP7) provee una solución completa para habilitar que los desarrolladores de producto integren de manera segura software open source en sus desarrollos. La comunidad RISCOSS está abierta a contribuciones de terceros, para permitir el desarollo continuo tanto de la plataforma como de las metodologias, juntamente con los servicios y el producto comercial.
Oss2015
Open source software ecosystem modelling has emerged asan important research area in software engineering. Several models havebeen proposed to identify and analyse the complex relationships in OSS-ecosystems. However, there is a lack of formal models, methodologies,tool support, and standard notations for OSS-ecosystems. In this paperwe propose a general framework for support the OSS-ecosystems mod-elling process. This framework will allow the representation, synthesis,analysis, evaluation, and evolution of OSS-ecosystems. Design sciencemethodology is proposed to create several artefacts and investigatingthe suitability of these artefacts in the OSS-ecosystem context.
Mobility4 all
El documento describe el proyecto Mobility4All, cuyos objetivos son facilitar la movilidad de los ciudadanos con impedimentos, apoyar a los municipios en la detección y supresión de barreras arquitectónicas, y atraer visitantes con impedimentos para su movilidad. El proyecto involucra a municipalidades, centros de investigación y actores tecnológicos en el desarrollo de una plataforma y contenidos para mejorar la accesibilidad urbana y los procesos de gestión municipal.
Er14
Increasing adoption of Open Source Software (OSS) in information system engineering has led to the emergence of different OSS business strategies that affect and shape organizations’ business models. In this context, organizational modeling needs to reconcile efficiently OSS adoption strategies with business strategies and models. In this paper, we propose to embed all the knowledge about each OSS adoption strategy into an i* model that can be used in the intentional modeling of the organization. These models describe the consequences of adopting one such strategy or another: which are the business goals that are supported, which are the resources that emerge, etc. To this aim, we first enumerate the main existing OSS adoption strategies, next we formulate an ontology that comprises the activities and resources that characterise
these strategies, then based on the experience of 5 industrial partners of the RISCOSS EU-funded project, we explore how these elements are managed in each strategy and formulate the corresponding model using the i* vframework.
QuESo: a Quality Model for Open Source Software Ecosystems
This document presents QuESo, a quality model for measuring the quality of open source software ecosystems. It consists of three dimensions: community quality, ecosystem network quality, and platform quality. The authors describe developing the model through a systematic literature review to identify relevant metrics, which were then organized into the quality characteristics and sub-characteristics. Examples of applying the QuESo model for risk analysis and assessing an open source community's health are provided. Future work could involve defining a complete quality assessment process based on the model.
Expert mining compsac-2014
To take maximum advantage of open source software (OSS), the understanding, management and mitigation of OSS adoption risks is crucial. We describe the empirical application of the tactical workshops with the purpose of obtaining the domain expert evaluation.
MoDRE 2014 @ RE keynote -- NFR-Aware MDD Processes
Software systems cannot be successful without taking non-functional requirements (NFRs) into account. But still there seems to be a lopsided emphasis on the functionality of the system, even though the functionality is not useful or usable when NFRs do not hold. MDD is not an exception to this rule. In this keynote, we will first analyse the state of the art in MDD with respect to NFR treatment. Next, we will reflect on the possible ways to fit NFRs in the MDD process and the consequences of each alternative. At the end, we will discuss a research agenda. Based on research done with other members of the GESSI group in collaboration with other research teams
Quantifying the Impact of OSS Adoption Risks with the help of i* Models
Dolors Costal, Daniel Gross, Lidia Lopez, Mirko Morandini, Alberto Siena, Angelo Susi: Quantifying the Impact of OSS Adoption Risks with the help of i* Models. 7th i* Int. Workshop held at CAiSE 2014. Paper at http://ceur-ws.org/Vol-1157/paper10.pdf. Adopting Open Source Software (OSS) components in or ganisational settings requires evaluating the possible impact of adoption decisions on business goals. Measures available in OSS, capturing indicators such as the quality of open source code and the activeness of the developing community, can be used as a driver to assess various risks
in component adoption. In this paper we illustrate how risk and impact models are used to relate measures obtained from the component under analysis to business goals in i* -based OSS business strategy models.
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Lidia López, Xavier Franch: Applying Business Strategy Models in Organizations. 7th i* Int. Workshop held at CAiSE 2014. Paper at http://ceur-ws.org/Vol-1157/paper6.pdf.
Abstract. Increasing adoption of Open Source Software (OSS) in information system engineering has led to the emergence of different OSS business strategies that affect and shape organizations’ business models. In order to obtain the specific organizational model for a concrete organization that is adhering to a specific OSS business strategy, we need to instantiate the general knowledge included in this business strategy. This paper describe the process in which this general knowledge is instantiated and define a set of operations over i* models to implement the instantiation concept. Although conceived in the field of OSS, the approach is generalizable to any kind of business strategy.
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The document proposes using software requirement patterns (SRPs) to improve requirements engineering (RE) by enabling reuse of textual requirements. It defines SRPs as templates that generate natural language requirements from parameters. A PAtterns Based RE framework (PABRE) is designed to facilitate SRP use, addressing research questions about SRP structure/semantics, integration into RE processes, and benefits. The approach involves defining SRPs and a catalog, designing and implementing the PABRE system, and validating the framework and assets. Future work includes improving SRP relationships, evolving PABRE assets, and conducting a validation case study.
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This document presents the development of a context ontology for service provisioning and consumption. It outlines the ontology development process, including specification, knowledge acquisition from 30 papers, and conceptualization of the knowledge. It also describes a use case scenario and conclusions. The paper aims to provide a unified context ontology and consolidate context information from a service-centric perspective to improve service provisioning and consumption.
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http://www.essi.upc.edu/~franch/cesi2014/program.html
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significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
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centuries, evolving its structure over time and space. In the present era, these changes have
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Likert scales and statistics
- 1. Likert Scale
- 3. Likert Scale User Response Value A Agree 4 B Neutral 3 C Agree 4 D Strongly agree 5 E Disagree 2 The mean would be: 4+3+4+5+2 5 responses = 3.6 That means that the users almost agree with the UI of Wikipedia. 3
- 4. …and some statistics • There are different kinds of variables: Categorical or nominal (e.g., colors) Ordinal (e.g., rate 1 to 10 your happiness) Interval. The difference between values can be measured, and is the same (lineal intervals) Ratio. Same as before, but also 0 means 0. E.g., temperature measured in C, 0 does not mean the absence of temperature. 4
- 5. …and some statistics • What can we do ? Nominal Ordinal Interval Ratio Frequency Yes Yes Yes Yes Median No Yes Yes Yes Add, mean, std. deviation No No Yes Yes Ratio, coef. of variation No No No Yes 5
- 6. References • Jamieson, S (2004). "Likert Scales: How to (Ab)use Them" Medical Education, Vol. 38(12), pp.1217-1218 • de Winter, J. C. F.; Dodou, D. (2010). "Fivepoint Likert items: t test versus Mann-Whitney-Wilcoxon", Practical Assessment, Research & Evaluation, Vol. 15(11). 6