English
Related papers

Related papers: Multi-stage Group Testing with (r,s)-regular desig…

200 papers

User-randomized A/B testing has emerged as the gold standard for online experimentation. However, when this kind of approach is not feasible due to legal, ethical or practical considerations, experimenters have to consider alternatives like…

Methodology · Statistics 2025-06-17 Paul Missault , Lorenzo Masoero , Christian Delbé , Thomas Richardson , Guido Imbens

This research describes the initial effort of building a prediction model for defects in system testing carried out by an independent testing team. The motivation to have such defect prediction model is to serve as early quality indicator…

Software Engineering · Computer Science 2014-01-24 Muhammad Dhiauddin Mohamed Suffian , Suhaimi Ibrahim

A group sequential clinical trial design can be an attractive option when planning a pivotal trial as this approach has the ability to stop the trial early for success, whilst also being well accepted from a regulatory review perspective.…

Applications · Statistics 2023-03-03 Fraser I Lewis

Defect prevention is the most vital but habitually neglected facet of software quality assurance in any project. If functional at all stages of software development, it can condense the time, overheads and wherewithal entailed to engineer a…

Software Engineering · Computer Science 2016-09-08 V. Suma , T. R. Gopalakrishnan Nair

Rotary Indexing Machines (RIMs) are widely used in manufacturing due to their ability to perform multiple production steps on a single product without manual repositioning, reducing production time and improving accuracy and consistency.…

Artificial Intelligence · Computer Science 2023-05-26 Maria Krantz , Oliver Niggemann

Over time, software systems suffer gradual quality decay and therefore costs can rise if organizations fail to take proactive countermeasures. Quality control is the first step to avoiding this cost trap. Continuous quality assessments help…

Software Engineering · Computer Science 2016-11-29 Florian Deissenboeck , Stefan Wagner , Markus Pizka , Benjamin Hummel , Elmar Juergens , Benedikt Mas y Parareda

We consider some computationally efficient and provably correct algorithms with near-optimal sample-complexity for the problem of noisy non-adaptive group testing. Group testing involves grouping arbitrary subsets of items into pools. Each…

Information Theory · Computer Science 2016-11-18 Chun Lam Chan , Sidharth Jaggi , Venkatesh Saligrama , Samar Agnihotri

Given $p$ samples, each of which may or may not be defective, group testing (GT) aims to determine their defect status by performing tests on $n < p$ `groups', where a group is formed by mixing a subset of the $p$ samples. Assuming that the…

Machine Learning · Statistics 2025-07-25 Shuvayan Banerjee , Radhendushka Srivastava , James Saunderson , Ajit Rajwade

\emph{Group Testing} (GT) addresses the problem of identifying a small subset of defective items from a large population, by grouping items into as few test pools as possible. In \emph{Adaptive GT} (AGT), outcomes of previous tests can…

Information Theory · Computer Science 2020-08-17 Alejandro Cohen , Asaf Cohen , Omer Gurewitz

We present an extension to the robust phase estimation protocol, which can identify incorrect results that would otherwise lie outside the expected statistical range. Robust phase estimation is increasingly a method of choice for…

Imagine you are a teacher attempting to assess a student's level in a particular subject. If you design a test with only hard questions, and the student fails, this mostly proves that the student does not understand the more advanced…

Information Retrieval · Computer Science 2021-10-11 Andrea Barraza-Urbina

We consider a zero-error probabilistic group testing problem where individuals are defective independently but not with identical probabilities. We propose a greedy set formation method to build sets of individuals to be tested together. We…

Information Theory · Computer Science 2021-08-30 Mustafa Doger , Sennur Ulukus

We consider the problem of non-adaptive group testing of $N$ items out of which $K$ or less items are known to be defective. We propose a testing scheme based on left-and-right-regular sparse-graph codes and a simple iterative decoder. We…

Information Theory · Computer Science 2017-01-27 Avinash Vem , Nagaraj T. Janakiraman , Krishna R. Narayanan

High-throughput screening (HTS) is a large-scale hierarchical process in which a large number of chemicals are tested in multiple stages. Conventional statistical analyses of HTS studies often suffer from high testing error rates and…

Applications · Statistics 2017-07-13 Tao Feng , Pallavi Basu , Wenguang Sun , Hsun Teresa Ku , Wendy J. Mack

In combinatorial group testing (CGT), the objective is to identify the set of at most $d$ defective items from a pool of $n$ items using as few tests as possible. The celebrated result for the CGT problem is that the number of tests $t$ can…

Information Theory · Computer Science 2019-01-29 Huseyin A. Inan , Peter Kairouz , Ayfer Ozgur

Many scientific-software projects test their codes inadequately, or not at all. Despite its well-known benefits, adopting routine testing is often not easy. Development teams may have doubts about establishing effective test procedures,…

Software Engineering · Computer Science 2014-11-11 Paul Madden , Eduardo G. Valente

We introduce a new methodology based on refinement for testing the functional correctness of hardware and low-level software. Our methodology overcomes several major drawbacks of the de facto testing methodologies used in industry: (1) it…

Logic in Computer Science · Computer Science 2017-03-17 Mitesh Jain , Panagiotis Manolios

The test pyramid is a conceptual model that describes how quality checks can be organized to ensure coverage of all components of a system, at all scales. Originally conceived to help aerospace engineers plan tests to determine how material…

Software Engineering · Computer Science 2020-11-03 Nicole Radziwill , Graham Freeman

Pathogenic infections pose a significant threat to global health, affecting millions of people every year and presenting substantial challenges to healthcare systems worldwide. Efficient and timely testing plays a critical role in disease…

Quantitative Methods · Quantitative Biology 2023-08-03 Ananthan Nambiar , Chao Pan , Vishal Rana , Mahdi Cheraghchi , João Ribeiro , Sergei Maslov , Olgica Milenkovic

There is growing interest in platform trials that allow for adding of new treatment arms as the trial progresses as well as being able to stop treatments part way through the trial for either lack of benefit/futility or for superiority. In…

Methodology · Statistics 2021-12-14 Peter Greenstreet , Thomas Jaki , Alun Bedding , Chris Harbron , Pavel Mozgunov