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We introduce an extension of decision problems called resiliency problems. In resiliency problems, the goal is to decide whether an instance remains positive after any (appropriately defined) perturbation has been applied to it. To tackle…

Data Structures and Algorithms · Computer Science 2018-05-04 Jason Crampton , Gregory Gutin , Martin Koutecký , Rémi Watrigant

Structured output prediction problems (e.g., sequential tagging, hierarchical multi-class classification) often involve constraints over the output label space. These constraints interact with the learned models to filter infeasible…

Machine Learning · Computer Science 2021-06-14 Tao Meng , Kai-Wei Chang

Participatory budgeting (PB) has attracted much attention in recent times due to its wide applicability in social choice settings. In this paper, we consider indivisible PB which involves allocating an available, limited budget to a set of…

Computer Science and Game Theory · Computer Science 2022-07-19 Gogulapati Sreedurga , Yadati Narahari

Following the widespread digitalization of scholarship, software has become essential for research, but the current sociotechnical system of citation does not reflect this sufficiently. Citation provides context for research, but the…

Digital Libraries · Computer Science 2025-06-26 Stephan Druskat

Software measurement programs have emerged as compounds of several measurement activities that are pursued as part of a combined effort of several parties within a software organization, based on interests that the organization has…

Software Engineering · Computer Science 2013-07-18 Alejandro Sanchez Guinea

Systematic application of software metric techniques can lead to significant improvements of the quality of a final software product. However, there is still the evident lack of wider utilization of software metrics techniques and tools due…

Software Engineering · Computer Science 2013-11-18 Gordana Rakic , Zoran Budimac

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

In this paper, we propose a new method for the derivation of a priority vector from an incomplete pairwise comparisons (PC) matrix. We assume that each entry of a PC matrix provided by an expert is also evaluated in terms of the expert's…

Optimization and Control · Mathematics 2023-05-31 Jiri Mazurek , Konrad Kułakowski

Human values are principles that guide human actions and behaviour in personal and social life. Ignoring human values during requirements engineering introduces a negative impact on software uptake and continued use. Embedding human values…

Software Engineering · Computer Science 2023-05-29 Tahira Iqbal , Kuldar Taveter , Tarmo Strenze , Waqar Hussain , Omar Haggag , John Alphonsus Matthews , Anu Piirisild

Agile methods are predominantly focused on delivering business values. But can Agile methods be adapted to effectively address and deliver human values such as social justice, privacy, and sustainability in the software they produce? Human…

Software Engineering · Computer Science 2021-11-16 Waqar Hussain , Mojtaba Shahin , Rashina Hoda , Jon Whittle , Harsha Perera , Arif Nurwidyantoro , Rifat Ara Shams , Gillian Oliver

The paper considers software development issues for large-scale enterprise information systems (IS) with databases (DB) in global heterogeneous distributed computational environment. Due to high IT development rates, the present-day society…

Software Engineering · Computer Science 2007-05-23 Sergey V. Zykov

Extracting conceptual models, e.g., entity relationship model or Business Process model, from software requirement document is an essential task in the software development life cycle. Business process model presents a clear picture of…

Software Engineering · Computer Science 2020-08-07 Muhammad Javed , Yuqing Lin

This dissertation investigates integer linear programming (ILP) formulation of Bayesian Network structure learning problem. We review the definition and key properties of Bayesian network and explain score metrics used to measure how well…

Machine Learning · Statistics 2020-07-07 Ronald Seoh

Recommender systems have become an essential component of many online platforms, providing personalized recommendations to users. A crucial aspect is embedding techniques that convert the high-dimensional discrete features, such as user and…

Information Retrieval · Computer Science 2025-10-23 Maolin Wang , Xinjian Zhao , Wanyu Wang , Sheng Zhang , Jiansheng Li , Bowen Yu , Binhao Wang , Shucheng Zhou , Dawei Yin , Qing Li , Ruocheng Guo , Xiangyu Zhao

Interpretability is becoming an active research topic as machine learning (ML) models are more widely used to make critical decisions. Tabular data is one of the most commonly used modes of data in diverse applications such as healthcare…

Machine Learning · Statistics 2021-12-01 Amirata Ghorbani , Dina Berenbaum , Maor Ivgi , Yuval Dafna , James Zou

Performing effective preference-based data retrieval requires detailed and preferentially meaningful structurized information about the current user as well as the items under consideration. A common problem is that representations of items…

Artificial Intelligence · Computer Science 2011-01-13 Joachim Selke , Wolf-Tilo Balke

The emergence of machine learning (ML) has led to a transformative shift in software techniques and guidelines for building software applications that support data analysis process activities such as data ingestion, modeling, and…

Software Engineering · Computer Science 2025-01-03 Cristina Tavares , Nathalia Nascimento , Paulo Alencar , Donald Cowan

The quality of human capital is crucial for software companies to maintain competitive advantages in knowledge economy era. Software companies recognize superior talent as a business advantage. They increasingly recognize the critical…

Software Engineering · Computer Science 2014-02-12 Sangita Gupta , Suma V

A magic value in a program is a constant symbol that is essential for the execution of the program but has no clear explanation for its choice. Learning programs with magic values is difficult for existing program synthesis approaches. To…

Machine Learning · Computer Science 2022-10-04 Céline Hocquette , Andrew Cropper

The successful completion of a software development process depends on the analytical capability and foresightedness of the project manager. For the project manager, the main intriguing task is to manage the risk factors as they adversely…

Software Engineering · Computer Science 2010-08-26 Kawal Jeet , Vijay Kumar Mago , Bhanu Prasad , Rajinder Singh Minhas