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Agile software development is nowadays a widely adopted practise in both open-source and industrial software projects. Agile teams typically heavily rely on issue management tools to document new issues and keep track of outstanding ones,…

Software Engineering · Computer Science 2022-02-03 Vali Tawosi , Afnan Al-Subaihin , Rebecca Moussa , Federica Sarro

The dynamic software development organizations optimize the usage of resources to deliver the products in the specified time with the fulfilled requirements. This requires prevention or repairing of the faults as quick as possible. In this…

Software Engineering · Computer Science 2009-12-14 R Bremananth , R Thushara

The sprint-based iterative approach in the Agile software development method allows continuous feedback and adaptation. One of the crucial Agile software development activities is the sprint planning session where developers estimate the…

Software Engineering · Computer Science 2026-04-07 Lamyea Maha , Tajmilur Rahman , Chanchal Roy

Data in the real world often has an evolving distribution. Thus, machine learning models trained on such data get outdated over time. This phenomenon is called model drift. Knowledge of this drift serves two purposes: (i) Retain an accurate…

Machine Learning · Computer Science 2025-03-11 Pranoy Panda , Kancheti Sai Srinivas , Vineeth N Balasubramanian , Gaurav Sinha

Estimation is one of the most critical areas in software project management life cycle, which is still evolving and less matured as compared to many other industries like construction, manufacturing etc. Originally the word estimation, in…

Software Engineering · Computer Science 2014-05-27 Parvez Mahmood Khan , M. M. Sufyan Beg

In this paper we study monitoring of real-time systems with respect to properties expressed either in Metric Interval Temporal Logic or as Timed B\"uchi Automata. We offer efficient symbolic online monitoring algorithms in a number of…

Formal Languages and Automata Theory · Computer Science 2025-09-30 Thomas Møller Grosen , Sean Kauffman , Kim Guldstrand Larsen , Martin Zimmermann

This study focuses on exploring the use of local interpretability methods for explaining time series clustering models. Many of the state-of-the-art clustering models are not directly explainable. To provide explanations for these…

Machine Learning · Computer Science 2022-08-03 Ozan Ozyegen , Nicholas Prayogo , Mucahit Cevik , Ayse Basar

Interpretability plays a vital role in aligning and deploying deep learning models in critical care, especially in constantly evolving conditions that influence patient survival. However, common interpretability algorithms face unique…

Machine Learning · Computer Science 2025-06-25 Shashank Yadav , Vignesh Subbian

Software estimation is one of the most important activities in the software project. The software effort estimation is required in the early stages of software life cycle. Project Failure is the major problem undergoing nowadays as seen by…

Software Engineering · Computer Science 2020-09-04 Akanksha Baghel , Meemansa Rathod , Pradeep Singh

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 number of bug reports in complex software increases dramatically. Now bugs are triaged manually, bug triage or assignment is a labor-intensive and time-consuming task. Without knowledge about the structure of the software, testers often…

Software Engineering · Computer Science 2012-06-07 Deqing Wang , Hui Zhang , Rui Liu , Mengxiang Lin , Wenjun Wu , Hongping Hu

Optimum software release time problem has been an interesting area of research for several decades now. We introduce here a new concept of size-biased modelling to solve for the optimum software release time. Bayesian approach is used to…

Methodology · Statistics 2019-08-02 Ashis Kumar Chakraborty , Parna Chatterjee , Poulami Chakraborty , Aleena Chanda

Transformation approaches for automatically constructing analysis models from textual requirements are critical to software development, as they can bring forward the use of precise formal languages from the coding phase to the requirement…

Software Engineering · Computer Science 2024-08-13 Keletso J. Letsholo

Many project risks in distributed software development are very different from the ones in collocated development and therefore are often overlooked. At the same time, they depend to a large extent on project-specific characteristics. This…

Software quality assurance has been a heated topic for several decades. If factors that influence software quality can be identified, they may provide more insight for better software development management. More precise quality assurance…

Software Engineering · Computer Science 2015-07-27 Jie Xu , Danny Ho , Luiz Fernando Capretz

Temporal logic is a framework for representing and reasoning about propositions that evolve over time. It is commonly used for specifying requirements in various domains, including hardware and software systems, as well as robotics.…

Computation and Language · Computer Science 2024-06-03 İlker Işık , Ebru Aydin Gol , Ramazan Gokberk Cinbis

As AI-assisted development tools proliferate, developers face a growing challenge: understanding the cost, quality, and behavioral patterns of AI interactions across their workflow. We present a unified approach to AI observability for…

Software Engineering · Computer Science 2026-04-21 Happy Bhati , Twinkll Sisodia

In real-time systems, priorities assigned to real-time tasks determine the order of task executions, by relying on an underlying task scheduling policy. Assigning optimal priority values to tasks is critical to allow the tasks to complete…

Software Engineering · Computer Science 2023-08-14 Jaekwon Lee , Seung Yeob Shin , Shiva Nejati , Lionel C. Briand

Many software development problems can be addressed by program analysis tools, which traditionally are based on precise, logical reasoning and heuristics to ensure that the tools are practical. Recent work has shown tremendous success…

Software Engineering · Computer Science 2021-04-09 Michael Pradel , Satish Chandra

With dramatic improvements in optimization software, the solution of large-scale problems that seemed intractable decades ago are now a routine task. This puts even more real-world applications into the reach of optimizers. At the same…

Optimization and Control · Mathematics 2023-03-07 Marc Goerigk , Michael Hartisch