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This paper addresses the problem of modeling and estimating dynamic multi-valued mappings. While most mathematical models provide a unique solution for a given input, real-world applications often lack deterministic solutions. In such…

Computer Vision and Pattern Recognition · Computer Science 2024-07-02 Geng Li , Di Qiu , Lok Ming Lui

System reuse and cost are very important in software product line design area. Developers goal is to increase system reuse and decreasing cost and efforts for building components from scratch for each software configuration. This can be…

Software Engineering · Computer Science 2013-11-14 Ola Younis , Said Ghoul , Mohammad H. Alomari

Nowadays, the use of feature modeling technique, in software requirements specification, increased the variation support in Data Intensive Software Product Lines (DISPLs) requirements modeling. It is considered the easiest and the most…

Software Engineering · Computer Science 2019-04-30 Eman Muslah , Said Ghoul

Solutions for mobility management in wireless networks have been investigated and proposed in various research projects and standardization bodies. With the continuing deployment of different access networks, the wider range of applications…

Networking and Internet Architecture · Computer Science 2011-05-10 Jochen Eisl , Michael Georgiades , Tony Jokikyyny , Roksana Boreli , Eranga Perera , Kostas Pentikousis

The continuous evolution of software projects necessitates the implementation of changes to enhance performance and reduce defects. This research explores effective strategies for learning and implementing useful changes in software…

Software Engineering · Computer Science 2025-04-18 Kartik Gupta

Deep metric learning maps visually similar images onto nearby locations and visually dissimilar images apart from each other in an embedding manifold. The learning process is mainly based on the supplied image negative and positive training…

Computer Vision and Pattern Recognition · Computer Science 2020-09-14 Chang-Hui Liang , Wan-Lei Zhao , Run-Qing Chen

This paper studies the robust optimal control design for uncertain nonlinear systems from a perspective of robust adaptive dynamic programming (robust-ADP). The objective is to fill up a gap in the past literature of ADP where dynamic…

Dynamical Systems · Mathematics 2013-03-12 Yu Jiang , Zhong-Ping Jiang

Process Management Systems (PMSs) are currently more and more used as a supporting tool for cooperative processes in pervasive and highly dynamic situations, such as emergency situations, pervasive healthcare or domotics/home automation.…

Software Engineering · Computer Science 2009-06-24 Massimiliano de Leoni

This paper describes a set of tools for automating and controlling the development and maintenance of software systems. The mental model is a software assembly line. Program design and construction take place at individual programmer…

Software Engineering · Computer Science 2010-06-14 Martin J. McGowan , William L. Anderson

This paper develops a smooth model identification and self-learning strategy for dynamic systems taking into account possible parameter variations and uncertainties. We have tried to solve the problem such that the model follows the changes…

Systems and Control · Electrical Eng. & Systems 2025-01-07 Ebrahim Navid Sadjadi , Jesus Garcia , Jose M. Molina , Akbar Hashemi Borzabadi , Monireh Asadi Abchouyeh

Dynamic manufacturing processes exhibit complex characteristics defined by time-varying parameters, nonlinear behaviors, and uncertainties. These characteristics require sophisticated in-situ monitoring techniques utilizing multimodal…

Machine Learning · Computer Science 2025-08-26 Suk Ki Lee , Hyunwoong Ko

[Background] The MVP concept has influenced the way in which development teams apply Software Engineering practices. However, the overall understanding of this influence of MVPs on SE practices is still poor. [Objective] Our goal is to…

Software Engineering · Computer Science 2023-05-16 Silvio Alonso , Marcos Kalinowski , Bruna Ferreira , Simone D. J. Barbosa , Helio Lopes

Context: Software startups are newly created companies with no operating history and fast in producing cutting-edge technologies. These companies develop software under highly uncertain conditions, tackling fast-growing markets under severe…

Software Engineering · Computer Science 2023-07-26 Nicolò Paternoster , Carmine Giardino , Michael Unterkalmsteiner , Tony Gorschek , Pekka Abrahamsson

Self-adaptive software can assess and modify its behavior when the assessment indicates that the program is not performing as intended or when improved functionality or performance is available. Since the mid-1960s, the subject of system…

Software Engineering · Computer Science 2023-02-14 Tarik A. Rashid , Bryar A. Hassan , Abeer Alsadoon , Shko Qader , S. Vimal , Amit Chhabra , Zaher Mundher Yaseen

Context: Behaviour Driven Development (BDD) uses scenarios written in semi-structured natural language to express software requirements in a way that can be understood by all stakeholders. The resulting natural language specifications can…

Software Engineering · Computer Science 2023-05-10 Leonard Peter Binamungu , Salome Maro

Differential Dynamic Programming is an optimal control technique often used for trajectory generation. Many variations of this algorithm have been developed in the literature, including algorithms for stochastic dynamics or state and input…

Optimization and Control · Mathematics 2022-05-26 Dennis Gramlich , Carsten W. Scherer , Christian Ebenbauer

Nowadays, customer products like vehicles do not only contain mechanical parts but also a highly complex software and their manufacturers have to offer many variants of technically very similar systems with sometimes only small differences…

Software Engineering · Computer Science 2014-09-24 Christian Berger , Holger Rendel , Bernhard Rumpe , Carsten Busse , Thorsten Jablonski , Fabian Wolf

In this paper, an approach to facilitate the treatment with variabilities in system families is presented by explicitly modelling variants. The proposed method of managing variability consists of a variant part, which models variants and a…

Software Engineering · Computer Science 2010-09-28 Shamim Hasnat Ripon , Kamrul Hasan Talukder , Khademul Islam Molla

In this paper, an approach to facilitate the treatment with variabilities in system families is presented by explicitly modelling variants. The proposed method of managing variability consists of a variant part, which models variants and a…

Software Engineering · Computer Science 2013-10-02 Shamim H. Ripon

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…

Software Engineering · Computer Science 2013-11-15 Goetz Botterweck