173,603 research outputs found
Defining and validating a multimodel approach for product architecture derivation and improvement
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-41533-3_24Software architectures are the key to achieving the non-functional
requirements (NFRs) in any software project. In software product line (SPL)
development, it is crucial to identify whether the NFRs for a specific product
can be attained with the built-in architectural variation mechanisms of the
product line architecture, or whether additional architectural transformations are
required. This paper presents a multimodel approach for quality-driven product
architecture derivation and improvement (QuaDAI). A controlled experiment is
also presented with the objective of comparing the effectiveness, efficiency,
perceived ease of use, intention to use and perceived usefulness with regard to
participants using QuaDAI as opposed to the Architecture Tradeoff Analysis
Method (ATAM). The results show that QuaDAI is more efficient and
perceived as easier to use than ATAM, from the perspective of novice software
architecture evaluators. However, the other variables were not found to be
statistically significant. Further replications are needed to obtain more
conclusive results.This research is supported by the MULTIPLE project (MICINN TIN2009-13838) and the Vali+D fellowship program (ACIF/2011/235).González Huerta, J.; Insfrán Pelozo, CE.; Abrahao Gonzales, SM. (2013). Defining and validating a multimodel approach for product architecture derivation and improvement. En Model-Driven Engineering Languages and Systems. Springer. 388-404. https://doi.org/10.1007/978-3-642-41533-3_24S388404Ali-Babar, M., Lago, P., Van Deursen, A.: Empirical research in software architecture: opportunities, challenges, and approaches. Empirical Software Engineering 16(5), 539–543 (2011)Ali-Babar, M., Zhu, L., Jeffery, R.: A Framework for Classifying and Comparing Software Architecture Evaluation Methods. In: 15th Australian Software Engineering Conference, Melbourne, Australia, pp. 309–318 (2004)Basili, V.R., Rombach, H.D.: The TAME project: towards improvement-oriented software environments. 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Workshop on Non-functional System Properties in Domain Specific Modeling Languages, Insbruck, Austria (2012)Guana, V., Correal, V.: Variability quality evaluation on component-based software product lines. In: 15th Int. Software Product Line Conference, Munich, Germany, vol. 2, pp. 19.1–19.8 (2011)Insfrán, E., Abrahão, S., González-Huerta, J., McGregor, J.D., Ramos, I.: A Multimodeling Approach for Quality-Driven Architecture Derivation. In: 21st Int. Conf. on Information Systems Development (ISD 2012), Prato, Italy (2012)ISO/IEC 25000:2005, Software Engineering. Software product Quality Requirements and Evaluation SQuaRE (2005)Kazman, R., Klein, M., Clements, P.: ATAM: Method for Architecture Evaluation (CMU/SEI-2000-TR-004, ADA382629). Software Engineering Institute, Carnegie Mellon University, Pittsburgh (2000), http://www.sei.cmu.edu/publications/documents/00.reports/00tr004.htmlKim, T., Ko, I., Kang, S., Lee, D.: Extending ATAM to assess product line architecture. 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Defining and validating a feature-driven requirements engineering approach
[EN] The specification of requirements is a key activity for achieving the goals of any
software project and it has long been established and recognized by researchers and
practitioners. Within Software Product Lines (SPL), this activity is even more critical owing to
the need to deal with common, variable, and product-specific requirements, not only for a
single product but for the whole set of products. In this paper, we present a Feature-Driven
Requirements Engineering approach (FeDRE) that provides support to the requirements
specification of SPL. The approach realizes features into functional requirements by
considering the variability captured in a feature model. It also provides detailed guidelines on
how to associate chunks of features from a feature model and to consider them as the context
for the Use Case specification. The evaluation of the approach is illustrated in a case study for
developing an SPL of mobile applications for emergency notifications. This case study was
applied within 14 subjects, 8 subjects from Universitat Politècnica de València and 6 subjects
from Federal University of Bahia. Evaluations concerning the perceived ease of use, perceived
usefulness, effectiveness and efficiency as regards requirements analysts using the approach are
also presented. The results show that FeDRE was perceived as easy to learn and useful by the
participants.This research work is cofounded by the Hispano-Brazilian Interuniversity Cooperation Program (HBP-2011-0015), the MULTIPLE project (TIN2009-13838) and the FPU program (AP2009-4635) from the Spanish Ministry of Education and Science, and the ValI+D program (ACIF/2011/235) Generalitat Valenciana. Copyright 2014 Carnegie Mellon University. This material is based upon work funded and supported by the Department of Defense under Contract No. FA8721-05-C-0003 with Carnegie Mellon University for the operation of the Software Engineering Institute, a federally funded research and development center. NO WARRANTY. THIS CARNEGIE MELLON UNIVERSITY AND SOFTWARE ENGINEERING INSTITUTE MATERIAL IS FURNISHED ON AN “AS-IS” BASIS. CARNEGIE MELLON UNIVERSITY MAKES NO WARRANTIES OF ANY KIND, EITHER EXPRESSED OR IMPLIED, AS TO ANY MATTER INCLUDING, BUT NOT LIMITED TO, WARRANTY OF FITNESS FOR PURPOSE OR MERCHANTABILITY, EXCLUSIVITY, OR RESULTS OBTAINED FROM USE OF THE MATERIAL. CARNEGIE MELLON UNIVERSITY DOES NOT MAKE ANY WARRANTY OF ANY KIND WITH RESPECT TO FREEDOM FROM PATENT, TRADEMARK, OR COPYRIGHT INFRINGEMENT. This material has been approved for public release and unlimited distribution. Carnegie Mellon® is registered in the U.S. Patent and Trademark Office by Carnegie Mellon University. DM-0000867. This work was partially supported by the National Institute of Science and Technology for Software Engineering (INES11), funded by CAPES, CNPq and FACEPE, grants 573964/2008-4 and APQ-1037-1.03/08 and CNPq grants 305968/2010-6, 559997/2010-8, 474766/2010-1 and FAPESB. The authors also appreciate the
value-adding work of all their colleagues Loreno Alvim, Larissa Rocha, Ivonei Freitas, Tassio Vale and Iuri Santos who make great contributions to the Scoping activity of FeDRE approach.De Oliveira, RP.; Blanes Domínguez, D.; González Huerta, J.; Insfrán Pelozo, CE.; Abrahao Gonzales, SM.; Cohen, S.; De Almeida, ES. (2014). Defining and validating a feature-driven requirements engineering approach. Journal of Universal Computer Science. 20(5):666-691. https://doi.org/10.3217/jucs-020-05-0666S66669120
Traceability for Model Driven, Software Product Line Engineering
Traceability is an important challenge for software organizations. This is true for traditional software development and even more so in new approaches that introduce more variety of artefacts such as Model Driven development or Software Product Lines. In this paper we look at some aspect of the interaction of Traceability, Model Driven development and Software Product Line
Towards Product Lining Model-Driven Development Code Generators
A code generator systematically transforms compact models to detailed code.
Today, code generation is regarded as an integral part of model-driven
development (MDD). Despite its relevance, the development of code generators is
an inherently complex task and common methodologies and architectures are
lacking. Additionally, reuse and extension of existing code generators only
exist on individual parts. A systematic development and reuse based on a code
generator product line is still in its infancy. Thus, the aim of this paper is
to identify the mechanism necessary for a code generator product line by (a)
analyzing the common product line development approach and (b) mapping those to
a code generator specific infrastructure. As a first step towards realizing a
code generator product line infrastructure, we present a component-based
implementation approach based on ideas of variability-aware module systems and
point out further research challenges.Comment: 6 pages, 1 figure, Proceedings of the 3rd International Conference on
Model-Driven Engineering and Software Development, pp. 539-545, Angers,
France, SciTePress, 201
A Model-Based Approach to Managing Feature Binding Time in Software Product Line Engineering
Software Product Line Engineering (SPLE) is a software reuse paradigm for developing software products, from managed reusable assets, based on analysis of commonality and variability (C & V) of a product line. Many approaches of SPLE use a feature as a key abstraction to capture the C&V. Recently, there have been increasing demands for the provision of flexibility about not only the variability of features but also the variability of when features should be selected (i.e., variability on feature binding times). Current approaches to support variations of feature binding time mostly focused on ad hoc implementation mechanisms. In this paper, we first identify the challenges of feature binding time management and then propose an approach to analyze the variation of feature binding times and use the results to specify model-based architectural components for the product line. Based on the specification, components implementing variable features are parameterized with the binding times and the source codes for the components and the connection between them are generated
Variability and Evolution in Systems of Systems
In this position paper (1) we discuss two particular aspects of Systems of
Systems, i.e., variability and evolution. (2) We argue that concepts from
Product Line Engineering and Software Evolution are relevant to Systems of
Systems Engineering. (3) Conversely, concepts from Systems of Systems
Engineering can be helpful in Product Line Engineering and Software Evolution.
Hence, we argue that an exchange of concepts between the disciplines would be
beneficial.Comment: In Proceedings AiSoS 2013, arXiv:1311.319
Automated analysis of feature models: Quo vadis?
Feature models have been used since the 90's to describe software product lines as a way of reusing common parts in a family of software systems. In 2010, a systematic literature review was published summarizing the advances and settling the basis of the area of Automated Analysis of Feature Models (AAFM). From then on, different studies have applied the AAFM in different domains. In this paper, we provide an overview of the evolution of this field since 2010 by performing a systematic mapping study considering 423 primary sources. We found six different variability facets where the AAFM is being applied that define the tendencies: product configuration and derivation; testing and evolution; reverse engineering; multi-model variability-analysis; variability modelling and variability-intensive systems. We also confirmed that there is a lack of industrial evidence in most of the cases. Finally, we present where and when the papers have been published and who are the authors and institutions that are contributing to the field. We observed that the maturity is proven by the increment in the number of journals published along the years as well as the diversity of conferences and workshops where papers are published. We also suggest some synergies with other areas such as cloud or mobile computing among others that can motivate further research in the future.Ministerio de Economía y Competitividad TIN2015-70560-RJunta de Andalucía TIC-186
A Systematic Review of Tracing Solutions in Software Product Lines
Software Product Lines are large-scale, multi-unit systems that enable
massive, customized production. They consist of a base of reusable artifacts
and points of variation that provide the system with flexibility, allowing
generating customized products. However, maintaining a system with such
complexity and flexibility could be error prone and time consuming. Indeed, any
modification (addition, deletion or update) at the level of a product or an
artifact would impact other elements. It would therefore be interesting to
adopt an efficient and organized traceability solution to maintain the Software
Product Line. Still, traceability is not systematically implemented. It is
usually set up for specific constraints (e.g. certification requirements), but
abandoned in other situations. In order to draw a picture of the actual
conditions of traceability solutions in Software Product Lines context, we
decided to address a literature review. This review as well as its findings is
detailed in the present article.Comment: 22 pages, 9 figures, 7 table
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