163,019 research outputs found
Measuring Software Process: A Systematic Mapping Study
Context: Measurement is essential to reach predictable performance and high capability processes. It provides
support for better understanding, evaluation, management, and control of the development process
and project, as well as the resulting product. It also enables organizations to improve and predict its processâs
performance, which places organizations in better positions to make appropriate decisions. Objective:
This study aims to understand the measurement of the software development process, to identify studies,
create a classification scheme based on the identified studies, and then to map such studies into the scheme
to answer the research questions. Method: Systematic mapping is the selected research methodology for this
study. Results: A total of 462 studies are included and classified into four topics with respect to their focus
and into three groups based on the publishing date. Five abstractions and 64 attributes were identified,
25 methods/models and 17 contexts were distinguished. Conclusion: capability and performance were the
most measured process attributes, while effort and performance were the most measured project attributes.
Goal Question Metric and Capability Maturity Model Integration were the main methods and models used
in the studies, whereas agile/lean development and small/medium-size enterprise were the most frequently
identified research contexts.Ministerio de EconomĂa y Competitividad TIN2013-46928-C3-3-RMinisterio de EconomĂa y Competitividad TIN2016-76956-C3-2- RMinisterio de EconomĂa y Competitividad TIN2015-71938-RED
Mapping European research networks
This paper proposes a framework for measuring the performance and mappingthe geography of the European Research Area (ERA) based on the analysis of existingresearch and knowledge networks. The objective is to provide insights into the spatialstructure of the European space from the perspective of the distribution of excellence inresearch. Starting from the debate on European spatial development, key issues such aspolycentricity, the territorial dimension and impact of European policies, the role of researchinvestments as an engine of urban and regional development, the paper explores thepotential use of integrating social network analysis and GIS in the evaluation of the spatialrelationalstructure of the European Research Area. The research uses data on theparticipation of academic and business research actors into research projects funded by theEuropean Commission under the Sixth Framework Programme. This paper proposes a framework for measuring the performance and mappingthe geography of the European Research Area (ERA) based on the analysis of existingresearch and knowledge networks. The objective is to provide insights into the spatialstructure of the European space from the perspective of the distribution of excellence inresearch. Starting from the debate on European spatial development, key issues such aspolycentricity, the territorial dimension and impact of European policies, the role of researchinvestments as an engine of urban and regional development, the paper explores thepotential use of integrating social network analysis and GIS in the evaluation of the spatialrelationalstructure of the European Research Area. The research uses data on theparticipation of academic and business research actors into research projects funded by theEuropean Commission under the Sixth Framework Programme
Towards a kansei-based user modeling methodology for eco-design
We propose here to highlight the benefits of building a framework linking Kansei Design (KD), User Centered Design (UCD) and Eco-design, as the correlation between these fields is barely explored in research at the current time. Therefore, we believe Kansei Design could serve the goal of achieving more sustainable products by setting up an accurate understanding of the user in terms of ecological awareness, and consequently enhancing performance in the Eco-design process. In the same way, we will consider the means-end chain approach inspired from marketing research, as it is useful for identifying ecological values, mapping associated functions and defining suitable design solutions. Information gathered will serve as entry data for conducting scenario-based design, and supporting the development of an Eco-friendly User Centered Design methodology (EcoUCD).ANR-ECOUS
Software component testing : a standard and the effectiveness of techniques
This portfolio comprises two projects linked by the theme of software component testing, which is also
often referred to as module or unit testing. One project covers its standardisation, while the other
considers the analysis and evaluation of the application of selected testing techniques to an existing
avionics system. The evaluation is based on empirical data obtained from fault reports relating to the
avionics system.
The standardisation project is based on the development of the BC BSI Software Component Testing
Standard and the BCS/BSI Glossary of terms used in software testing, which are both included in the
portfolio. The papers included for this project consider both those issues concerned with the adopted
development process and the resolution of technical matters concerning the definition of the testing
techniques and their associated measures.
The test effectiveness project documents a retrospective analysis of an operational avionics system to
determine the relative effectiveness of several software component testing techniques. The methodology
differs from that used in other test effectiveness experiments in that it considers every possible set of
inputs that are required to satisfy a testing technique rather than arbitrarily chosen values from within
this set. The three papers present the experimental methodology used, intermediate results from a failure
analysis of the studied system, and the test effectiveness results for ten testing techniques, definitions for
which were taken from the BCS BSI Software Component Testing Standard.
The creation of the two standards has filled a gap in both the national and international software testing
standards arenas. Their production required an in-depth knowledge of software component testing
techniques, the identification and use of a development process, and the negotiation of the
standardisation process at a national level. The knowledge gained during this process has been
disseminated by the author in the papers included as part of this portfolio. The investigation of test
effectiveness has introduced a new methodology for determining the test effectiveness of software
component testing techniques by means of a retrospective analysis and so provided a new set of data that
can be added to the body of empirical data on software component testing effectiveness
Early Quantitative Assessment of Non-Functional Requirements
Non-functional requirements (NFRs) of software systems are a well known source of uncertainty in effort estimation. Yet, quantitatively approaching NFR early in a project is hard. This paper makes a step towards reducing the impact of uncertainty due to NRF. It offers a solution that incorporates NFRs into the functional size quantification process. The merits of our solution are twofold: first, it lets us quantitatively assess the NFR modeling process early in the project, and second, it lets us generate test cases for NFR verification purposes. We chose the NFR framework as a vehicle to integrate NFRs into the requirements modeling process and to apply quantitative assessment procedures. Our solution proposal also rests on the functional size measurement method, COSMIC-FFP, adopted in 2003 as the ISO/IEC 19761 standard. We extend its use for NFR testing purposes, which is an essential step for improving NFR development and testing effort estimates, and consequently for managing the scope of NFRs. We discuss the advantages of our approach and the open questions related to its design as well
Evaluation Criteria for Object-oriented Metrics
In this paper an evaluation model for object-oriented (OO) metrics is proposed. We have evaluated the existing evaluation criteria for OO metrics, and based on the observations, a model is proposed which tries to cover most of the features for the evaluation of OO metrics. The model is validated by applying it to existing OO metrics. In contrast to the other existing criteria, the proposed model is simple in implementation and includes the practical and important aspects of evaluation; hence it suitable to evaluate and validate any OO complexity metric
An Approach for the Empirical Validation of Software Complexity Measures
Software metrics are widely accepted tools to control and assure software quality. A large number of software metrics with a variety of content can be found in the literature; however most of them are not adopted in industry as they are seen as irrelevant to needs, as they are unsupported, and the major reason behind this is due to improper
empirical validation. This paper tries to identify possible root causes for the improper empirical validation of the software metrics. A practical model for the empirical validation of software metrics is proposed along with root causes. The model is validated by applying it to recently proposed and well known metrics
A critical evaluation of the standardisation potential of business plan evaluation aids (BPEA) used in venture capital investment decision-making
The research objective was to perform a critical evaluation and comparison of four, representative Business Plan Evaluation Aids (BPEA) to facilitate constructive discussion of the proposition that greater standardisation of venture capital decision-making might be both desirable and possible.The four BPEA were systematically compared using a structured, taxonomic process employing seven key criteria. The evidence of this investigation suggests a clear superiority for BPEAs, which are based on the known attributes of successful ventures and use actuarial modelling. Discussion centred on the importance of using BPEAs in a quest for greater consistency of venture capital investment decision-making.<br /
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