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Related papers: Guided Object-Oriented Development

200 papers

Optimization of product performance repetitively introduces the need to make products adaptive in a more general sense. This more general idea is often captured under the term 'self-configuration'. Despite the importance of such capability,…

Artificial Intelligence · Computer Science 2016-06-30 Aleksander Lodwich

The reference point for developing any artefact is its specification; to develop software formally, a formal specification is required. For sequential programs, pre and post conditions (together with abstract objects) suffice; rely and…

Software Engineering · Computer Science 2023-12-04 Cliff B. Jones , Alan Burns

The development of software for wireless services on the Internet is a challenging task due to the extreme time-to-market pressure, the newness of the application domain, and the quick evolution of the technical infrastructure.…

Software Engineering · Computer Science 2014-02-20 Ulrike Becker-Kornstaedt , Daniela Boggio , Jürgen Münch , Alexis Ocampo , Gino Palladino

Finite-difference methods are widely used for zeroth-order optimization in settings where gradient information is unavailable or expensive to compute. These procedures mimic first-order strategies by approximating gradients through function…

Optimization and Control · Mathematics 2025-05-27 Marco Rando , Cesare Molinari , Lorenzo Rosasco , Silvia Villa

Training-free guided generation is a widely used and powerful technique that allows the end user to exert further control over the generative process of flow/diffusion models. Generally speaking, two families of techniques have emerged for…

Machine Learning · Computer Science 2025-05-20 Zander W. Blasingame , Chen Liu

Higher-order logic programming is an interesting extension of traditional logic programming that allows predicates to appear as arguments and variables to be used where predicates typically occur. Higher-order characteristics are indeed…

Programming Languages · Computer Science 2018-12-04 Antonis Troumpoukis , Angelos Charalambidis

Algorithm design is a laborious process and often requires many iterations of ideation and validation. In this paper, we explore automating algorithm design and present a method to learn an optimization algorithm, which we believe to be the…

Machine Learning · Computer Science 2016-06-07 Ke Li , Jitendra Malik

A critical challenge is to enable IoT application development with minimal effort from various stakeholders involved in the development process. Several approaches to tacking this challenge have been proposed in the fields of wireless…

Software Engineering · Computer Science 2016-06-08 Pankesh Patel , Tie Luo , Umesh Bellur

An essential characteristic of mature software and system development organizations is the definition and use of explicit process models. For a number of reasons, it can be valuable to produce new process models by tailoring existing…

Software Engineering · Computer Science 2014-01-21 Martín Soto , Jürgen Münch

Moldable development supports decision-making by making software systems explainable. This is done by making it cheap to add numerous custom tools to your software, turning it into a live, explorable domain model. Based on several years of…

Software Engineering · Computer Science 2024-09-30 Oscar Nierstrasz , Tudor Gîrba

This paper argues that modelling the development methodologies can improve the multi-agents systems software engineering. Such modelling allows applying methods, techniques and practices used in the software development to the methodologies…

Software Engineering · Computer Science 2014-08-26 Ammar Lahlouhi

Software testing is a prime factor in software industry. Besides knowing the importance of testing, only limited time is allocated for teaching it. It will be more efficient if testing is taught simultaneously with programming foundations.…

Artificial Intelligence · Computer Science 2013-02-22 A. Anandaraj , P. Kalaivani , V. Rameshkumar

Requirements Engineering has recently been greatly influenced by the way how firms use Open Source Software (OSS) and Software Ecosystems (SECOs) as a part of their product development and business models. This is further emphasized by the…

Software Engineering · Computer Science 2022-08-05 Johan Linåker , Krzysztof Wnuk

The inner views of all our applications are predetermined by the designers; only some non-significant variations are allowed with the help of adaptive interface. In several programs you can find some moveable objects, but it is an extremely…

Human-Computer Interaction · Computer Science 2009-04-07 Sergey Andreyev

This paper presents an empirical study on how self- organized software teams could attain high performance using agile and lean practices. In particular, the paper qualitatively examines characteristics of high performance and self-…

Software Engineering · Computer Science 2013-11-28 Vaibhavi Oza , Petri Kettunen , Pekka Abrahamsson , Jürgen Münch

The software development process is considered as one of the key guidelines in the creation of said software and this approach is necessary for providing a more efficient yet satisfactory output. Without separation of work into distinct…

Software Engineering · Computer Science 2020-12-15 Alya Hannah Ahmad Kamal , Caryn Chuah Yi Yen , Gan Jia Hui , Pang Sze Ling , Fatima-tuz-Zahra

Test suites assess natural language processing models' performance on specific functionalities: cases of interest involving model robustness, fairness, or particular linguistic capabilities. This paper introduces specification instructions:…

Computation and Language · Computer Science 2024-11-19 Pedro Henrique Luz de Araujo , Benjamin Roth

This paper considers how a formal mathematically-based model can be used in support of evolutionary software development, and in particular how such a model can be kept consistent with the implementation as it changes to meet new…

Software Engineering · Computer Science 2011-11-14 A. Gravell , Y. Howard , J. C. Augusto , C. Ferreira , S. Gruner

Dropout is attracting intensive research interest in deep learning as an efficient approach to prevent overfitting. Recently incorporating structural information when deciding which units to drop out produced promising results comparing to…

Machine Learning · Computer Science 2021-06-17 Xiaoli Li

Often during the requirements engineering (RE) process, the value of a requirement is assessed, e.g., in requirement prioritisation, release planning, and trade-off analysis. In order to support these activities, this research evaluates…

Software Engineering · Computer Science 2013-06-17 Richard Ellis-Braithwaite