Search results for "promise"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
119	Wang Ying-chun, Wang Shi-jie, Liu Yong-xian, Zhang Xinmin	Research on the Supplier Promise Management Based on the Lean Six Sigma.	HCI (8)	2009	DBLP DOI BibTeX RDF	Lean Six Sigma, Supplier Promise Management, Procession, Supply Chain
52	Nachum Dershowitz, Iddo Tzameret	Complexity of Propositional Proofs Under a Promise.	ICALP	2007	DBLP DOI BibTeX RDF	random 3CNF, promise problems, resolution, proof complexity
46	Zhenying Zhao, Michael O. Ball, Masahiro Kotake	Optimization-Based Available-To-Promise with Multi-Stage Resource Availability.	Ann. Oper. Res.	2005	DBLP DOI BibTeX RDF	available-to-promise, manufacturing order, production capability, order-promising and fulfillment, mixed-integer-programming
46	Maosheng Li, Shoubao Yang, Qianfei Fu, Yang Jin	Research on Grid Resource Reliability Model Based on Promise.	ITCC (1)	2005	DBLP DOI BibTeX RDF	resource reliability, promise, signaling game, grid computing, market
46	Jörg-Michael Friedrich, Jochen Speyerer	XML-Based Available-to-Promise Logic for Small and Medium Sized Enterprise.	HICSS	2002	DBLP DOI BibTeX RDF	Available-to-Promise, XML, SCM, SME
46	Chien-Yu Chen 0001, Zhen-Ying Zhao, Michael O. Ball	Quantity and Due Date Quoting Available to Promise.	Inf. Syst. Frontiers	2001	DBLP DOI BibTeX RDF	available to promise (ATP), due date quoting, order promising and fulfillment, mixed integer programming
43	J. Christopher Beck, Patrick Prosser, Richard J. Wallace	Variable Ordering Heuristics Show Promise.	CP	2004	DBLP DOI BibTeX RDF
41	Mark Burgess, Siri Fagernes	Promise theory - a model of autonomous objects for pervasive computing and swarms.	ICNS	2006	DBLP DOI BibTeX RDF	promise theory, Pervasive computing, swarm intelligence, control theory
37	Mohamed Hefeeda, Ahsan Habib 0001, Boyan Botev, Dongyan Xu, Bharat K. Bhargava	PROMISE: peer-to-peer media streaming using CollectCast.	ACM Multimedia	2003	DBLP DOI BibTeX RDF	peer-to-peer systems, multimedia streaming
36	Promise I. Enwere, Encarnación Cervantes-Requena, Luis A. Camuñas-Mesa, José M. de la Rosa 0001	Using ANNs to predict the evolution of spectrum occupancy in cognitive-radio systems.	Integr.	2023	DBLP DOI BibTeX RDF
36	Catherine R. McGowan, Promise Ekoriko, Mervat Alhaffar, Sarah Cassidy-Seyoum, Steven Whitbread, Phil Rogers, Lucy Bell, Francesco Checchi	Design and implementation of a web-based, respondent-driven sampling solution.	BMC Medical Informatics Decis. Mak.	2023	DBLP DOI BibTeX RDF
36	Roland Izuagbe, Olajumoke Olawoyin, Christopher Nkiko, Promise Ifeoma Ilo, Felicia Yusuf, Mercy Iroaganachi, Julie Ilogho, Goodluck Israel Ifijeh	Impact analysis of e-Databases' job relevance, output quality and result demonstrability on faculty research motivation.	Libr. Hi Tech	2022	DBLP DOI BibTeX RDF
36	Promise Ricardo Agbedanu, Richard Musabe, James Rwigema, Ignace Gatare, Theofrida Julius Maginga, Destiny Kwabla Amenyedzi	Towards achieving lightweight intrusion detection systems in Internet of Things, the role of incremental machine learning: A systematic literature review.	F1000Research	2022	DBLP DOI BibTeX RDF
36	Promise I. Okorie, Luis A. Camuñas-Mesa, José M. de la Rosa 0001	Using ANNs to Predict Frequency Spectrum Occupancy in Cognitive-Radio Receivers.	DCIS	2022	DBLP DOI BibTeX RDF
36	Promise Ricardo Agbedanu, Anca Delia Jurcut	BLOFF: A Blockchain based Forensic Model in IoT.	CoRR	2021	DBLP BibTeX RDF
36	Geraldine Light, Jorge Santiago-Aviles, Aavo Reinvald, Tashweena Herramun, Meredith Bolen, Promise Adebayo-Ige, Erin Brown	Micro-controllers, Sunlight, and Educators from Two Continents: The Genesis of Mutually Beneficial Techno-cultural Relations.	GHTC	2021	DBLP DOI BibTeX RDF
36	Isaac Kofi Nti, Owusu Nyarko-Boateng, Samuel Boateng, Faiza Umar Bawah, Promise Ricardo Agbedanu, Nicodemus Songose Awarayi, Peter Nimbe, Adebayo Felix Adekoya, Benjamin Asubam Weyori, Vivian Akoto-Adjepong	Enhancing Flood Prediction using Ensemble and Deep Learning Techniques.	ACIT	2021	DBLP DOI BibTeX RDF
36	Pengwei Wang 0001, Yinghui Lei, Promise Ricardo Agbedanu, Zhaohui Zhang	Makespan-Driven Workflow Scheduling in Clouds Using Immune-Based PSO Algorithm.	IEEE Access	2020	DBLP DOI BibTeX RDF
36	Patrick Kenekayoro, Promise Mebine, Godswill Zipamone	Population Based Techniques for Solving the Student Project Allocation Problem.	Int. J. Appl. Metaheuristic Comput.	2020	DBLP DOI BibTeX RDF
36	Abdur Rasool, Ran Tao 0005, Kaleem Kashif, Waqas Khan, Promise Ricardo Agbedanu, Neeta Choudhry	Statistic Solution for Machine Learning to Analyze Heart Disease Data.	ICMLC	2020	DBLP DOI BibTeX RDF
36	Promise Ricardo Agbedanu, Pengwei Wang 0001, Richard Nuetey Nortey, Lamptey Khalid Odartey	Forensics in the Cloud: A Literature Analysis and Classification.	BigCom	2019	DBLP DOI BibTeX RDF
36	Eric M. Clark, Ted James, Chris A. Jones, Amulya Alapati, Promise Ukandu, Christopher M. Danforth, Peter Sheridan Dodds	A Sentiment Analysis of Breast Cancer Treatment Experiences and Healthcare Perceptions Across Twitter.	CoRR	2018	DBLP BibTeX RDF
36	Promise Mvelase, George Sibiya, Nomusa Dlodlo, John Oladosu, Matthew Adigun	A comparative analysis of pricing models for enterprise cloud platforms.	AFRICON	2013	DBLP DOI BibTeX RDF
36	Promise Mvelase, Nomusa Dlodlo, Quentin Williams, Matthew O. Adigun	Custom-Made Cloud Enterprise Architecture for Small Medium and Micro Enterprises.	Int. J. Cloud Appl. Comput.	2011	DBLP DOI BibTeX RDF
36	Promise Mvelase, Nomusa Dlodlo, Quentin Williams, Matthew O. Adigun	Virtual enterprise model for enabling cloud computing for SMMEs.	ISWSA	2011	DBLP DOI BibTeX RDF
36	Promise Mebine, Rhoda H. Gumus	On Steady MHD Thermally Radiating and Reacting Thermosolutal Viscous Flow through a Channel with Porous Medium.	Int. J. Math. Math. Sci.	2010	DBLP DOI BibTeX RDF
34	Shane McIntosh, Eunjong Choi, Steffen Herbold (eds.)	Proceedings of the 19th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2023, San Francisco, CA, USA, 8 December 2023	PROMISE	2023	DBLP DOI BibTeX RDF
34	Ayberk Yasa, Ege Ergül, Hakan Erdogmus, Eray Tüzün	Do Developers Fix Continuous Integration Smells?	PROMISE	2023	DBLP DOI BibTeX RDF
34	David Reid, Kristiina Rahkema, James Walden	Large Scale Study of Orphan Vulnerabilities in the Software Supply Chain.	PROMISE	2023	DBLP DOI BibTeX RDF
34	Pragya Bhandari, Gema Rodríguez-Pérez	BuggIn: Automatic Intrinsic Bugs Classification Model using NLP and ML.	PROMISE	2023	DBLP DOI BibTeX RDF
34	Sousuke Amasaki	On Effectiveness of Further Pre-training on BERT Models for Story Point Estimation.	PROMISE	2023	DBLP DOI BibTeX RDF
34	Tim Menzies	Model Review: A PROMISEing Opportunity.	PROMISE	2023	DBLP DOI BibTeX RDF
34	Sivajeet Chand, Sushant Kumar Pandey, Jennifer Horkoff, Miroslaw Staron, Miroslaw Ochodek, Darko Durisic	Comparing Word-Based and AST-Based Models for Design Pattern Recognition.	PROMISE	2023	DBLP DOI BibTeX RDF
34	Umutcan Karakas, Ayse Tosun	Automated Fairness Testing with Representative Sampling.	PROMISE	2023	DBLP DOI BibTeX RDF
34	Norbert Tihanyi, Tamás Bisztray, Ridhi Jain, Mohamed Amine Ferrag, Lucas C. Cordeiro, Vasileios Mavroeidis	The FormAI Dataset: Generative AI in Software Security through the Lens of Formal Verification.	PROMISE	2023	DBLP DOI BibTeX RDF
34	Foutse Khomh	Harnessing Predictive Modeling and Software Analytics in the Age of LLM-Powered Software Development (Invited Talk).	PROMISE	2023	DBLP DOI BibTeX RDF
34	Shane McIntosh, Weiyi Shang, Gema Rodríguez-Pérez (eds.)	Proceedings of the 18th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2022, Singapore, Singapore, 17 November 2022	PROMISE	2022	DBLP DOI BibTeX RDF
34	Khaled Walid Al-Sabbagh, Miroslaw Staron, Regina Hebig	Predicting build outcomes in continuous integration using textual analysis of source code commits.	PROMISE	2022	DBLP DOI BibTeX RDF
34	Bram Adams	Release engineering in the AI world: how can analytics help? (keynote).	PROMISE	2022	DBLP DOI BibTeX RDF
34	Peter Bludau, Alexander Pretschner	Feature sets in just-in-time defect prediction: an empirical evaluation.	PROMISE	2022	DBLP DOI BibTeX RDF
34	Dhasarathy Parthasarathy, Cecilia Ekelin, Anjali Karri, Jiapeng Sun, Panagiotis Moraitis	Measuring design compliance using neural language models: an automotive case study.	PROMISE	2022	DBLP DOI BibTeX RDF
34	Jediael Mendoza, Jason Mycroft, Lyam Milbury, Nafiseh Kahani, Jason Jaskolka	On the effectiveness of data balancing techniques in the context of ML-based test case prioritization.	PROMISE	2022	DBLP DOI BibTeX RDF
34	Fahad Al Debeyan, Tracy Hall, David Bowes	Improving the performance of code vulnerability prediction using abstract syntax tree information.	PROMISE	2022	DBLP DOI BibTeX RDF
34	Tugce Coskun, Rusen Halepmollasi, Khadija Hanifi, Ramin Fadaei Fouladi, Pinar Çomak De Cnudde, Ayse Tosun	Profiling developers to predict vulnerable code changes.	PROMISE	2022	DBLP DOI BibTeX RDF
34	Prantik Parashar Sarmah, Sridhar Chimalakonda	API + code = better code summary? insights from an exploratory study.	PROMISE	2022	DBLP DOI BibTeX RDF
34	Hammad Ahmad, Colton Holoday, Ian Bertram, Kevin Angstadt, Zohreh Sharafi, Westley Weimer	LOGI: an empirical model of heat-induced disk drive data loss and its implications for data recovery.	PROMISE	2022	DBLP DOI BibTeX RDF
34	Mazen Mohamad, Jan-Philipp Steghöfer, Alexander Åström, Riccardo Scandariato	Identifying security-related requirements in regulatory documents based on cross-project classification.	PROMISE	2022	DBLP DOI BibTeX RDF
34	Burak Yetistiren, Isik Ozsoy, Eray Tuzun	Assessing the quality of GitHub copilot's code generation.	PROMISE	2022	DBLP DOI BibTeX RDF
34	Shane McIntosh, Xin Xia 0008, Sousuke Amasaki (eds.)	PROMISE '21: 17th International Conference on Predictive Models and Data Analytics in Software Engineering, Athens Greece, August 19-20, 2021	PROMISE	2021	DBLP DOI BibTeX RDF
34	Guru Prasad Bhandari, Amara Naseer, Leon Moonen	CVEfixes: automated collection of vulnerabilities and their fixes from open-source software.	PROMISE	2021	DBLP DOI BibTeX RDF
34	Leandro L. Minku	Multi-stream online transfer learning for software effort estimation: is it necessary?	PROMISE	2021	DBLP DOI BibTeX RDF
34	Leonardo Villalobos-Arias, Christian Quesada-López	Comparative study of random search hyper-parameter tuning for software effort estimation.	PROMISE	2021	DBLP DOI BibTeX RDF
34	Ibtissam Abnane, Ali Idri, Mohamed Hosni, Alain Abran	Heterogeneous ensemble imputation for software development effort estimation.	PROMISE	2021	DBLP DOI BibTeX RDF
34	Khaled Walid Al-Sabbagh, Miroslaw Staron, Regina Hebig, Francisco Gomes 0001	A classification of code changes and test types dependencies for improving machine learning based test selection.	PROMISE	2021	DBLP DOI BibTeX RDF
34	Leandro L. Minku, Tim Menzies, Meiyappan Nagappan (eds.)	PROMISE '20: 16th International Conference on Predictive Models and Data Analytics in Software Engineering, Virtual Event, USA, November 8-9, 2020	PROMISE	2020	DBLP DOI BibTeX RDF
34	David Bowes, Giuseppe Destefanis, Tracy Hall, Jean Petric, Marco Ortu	Fault-insertion and fault-fixing: analysing developer activity over time.	PROMISE	2020	DBLP DOI BibTeX RDF
34	Hamoud Aljamaan, Amal Alazba	Software defect prediction using tree-based ensembles.	PROMISE	2020	DBLP DOI BibTeX RDF
34	Emtinan I. Mustafa, Rasha Osman	SEERA: a software cost estimation dataset for constrained environments.	PROMISE	2020	DBLP DOI BibTeX RDF
34	Leonardo Villalobos-Arias, Christian Quesada-López, Jose Guevara-Coto, Alexandra Martínez 0001, Marcelo Jenkins	Evaluating hyper-parameter tuning using random search in support vector machines for software effort estimation.	PROMISE	2020	DBLP DOI BibTeX RDF
34	Sousuke Amasaki, Hirohisa Aman, Tomoyuki Yokogawa	An exploratory study on applicability of cross project defect prediction approaches to cross-company effort estimation.	PROMISE	2020	DBLP DOI BibTeX RDF
34	H. Alperen Çetin, Eray Tüzün	Identifying key developers using artifact traceability graphs.	PROMISE	2020	DBLP DOI BibTeX RDF
34	Wisam Haitham Abbood Al-Zubaidi, Patanamon Thongtanunam, Hoa Khanh Dam, Chakkrit Tantithamthavorn, Aditya Ghose	Workload-aware reviewer recommendation using a multi-objective search-based approach.	PROMISE	2020	DBLP DOI BibTeX RDF
34	Solmaz Salimi, Maryam Ebrahimzadeh, Mehdi Kharrazi	Improving real-world vulnerability characterization with vulnerable slices.	PROMISE	2020	DBLP DOI BibTeX RDF
34	Leandro L. Minku, Foutse Khomh, Jean Petric (eds.)	Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2019, Recife, Brazil, September 18, 2019.	PROMISE	2019	DBLP BibTeX RDF
34	Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi 0001	The Technical Debt Dataset.	PROMISE	2019	DBLP DOI BibTeX RDF
34	Tapajit Dey, Yuxing Ma, Audris Mockus	Patterns of Effort Contribution and Demand and User Classification based on Participation Patterns in NPM Ecosystem.	PROMISE	2019	DBLP DOI BibTeX RDF
34	Hadi Jahanshahi, Dhanya Jothimani, Ayse Basar, Mucahit Cevik	Does chronology matter in JIT defect prediction?: A Partial Replication Study.	PROMISE	2019	DBLP DOI BibTeX RDF
34	Renan Gomes Vieira, Antônio da Silva, Lincoln S. Rocha, João Paulo Pordeus Gomes	From Reports to Bug-Fix Commits: A 10 Years Dataset of Bug-Fixing Activity from 55 Apache's Open Source Projects.	PROMISE	2019	DBLP DOI BibTeX RDF
34	Song Wang 0009, Chetan Bansal, Nachiappan Nagappan, Adithya Abraham Philip	Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes.	PROMISE	2019	DBLP DOI BibTeX RDF
34	An Nguyen 0003, Bach Le, Vu Nguyen 0003	Prioritizing automated user interface tests using reinforcement learning.	PROMISE	2019	DBLP DOI BibTeX RDF
34	Idan Amit, Dror G. Feitelson	Which Refactoring Reduces Bug Rate?	PROMISE	2019	DBLP DOI BibTeX RDF
34	Sousuke Amasaki, Tomoyuki Yokogawa, Hirohisa Aman	Applying Cross Project Defect Prediction Approaches to Cross-Company Effort Estimation.	PROMISE	2019	DBLP DOI BibTeX RDF
34	Thu Tran, Vu Nguyen 0003, Thong Truong, Chi Tran, Phu Le	An Evaluation of Parameter Pruning Approaches for Software Estimation.	PROMISE	2019	DBLP DOI BibTeX RDF
34	Emre Sülün, Eray Tüzün, Ugur Dogrusöz	Reviewer Recommendation using Software Artifact Traceability Graphs.	PROMISE	2019	DBLP DOI BibTeX RDF
34	Sravya Polisetty, Andriy V. Miranskyy, Ayse Basar	On Usefulness of the Deep-Learning-Based Bug Localization Models to Practitioners.	PROMISE	2019	DBLP DOI BibTeX RDF
34	Burak Turhan, Ayse Tosun, Shane McIntosh (eds.)	Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2018, Oulu, Finland, October 10, 2018	PROMISE	2018	DBLP DOI BibTeX RDF
34	Tapajit Dey, Audris Mockus	Are Software Dependency Supply Chain Metrics Useful in Predicting Change of Popularity of NPM Packages?	PROMISE	2018	DBLP DOI BibTeX RDF
34	Jean Petric, Tracy Hall, David Bowes	How Effectively Is Defective Code Actually Tested?: An Analysis of JUnit Tests in Seven Open Source Systems.	PROMISE	2018	DBLP DOI BibTeX RDF
34	Fernando López de la Mora, Sarah Nadi	An Empirical Study of Metric-based Comparisons of Software Libraries.	PROMISE	2018	DBLP DOI BibTeX RDF
34	Francis Palma, Tamer Abdou, Ayse Bener, John Maidens, Stella Liu	An Improvement to Test Case Failure Prediction in the Context of Test Case Prioritization.	PROMISE	2018	DBLP DOI BibTeX RDF
34	Marco Ortu, Tracy Hall, Michele Marchesi, Roberto Tonelli, David Bowes, Giuseppe Destefanis	Mining Communication Patterns in Software Development: A GitHub Analysis.	PROMISE	2018	DBLP DOI BibTeX RDF
34	Giuseppe Destefanis, S. Qaderi, David Bowes, Jean Petric, Marco Ortu	A Longitudinal Study of Anti Micro Patterns in 113 versions of Tomcat.	PROMISE	2018	DBLP DOI BibTeX RDF
34	Sousuke Amasaki	Cross-Version Defect Prediction using Cross-Project Defect Prediction Approaches: Does it work?	PROMISE	2018	DBLP DOI BibTeX RDF
34	Tapajit Dey, Audris Mockus	Modeling Relationship between Post-Release Faults and Usage in Mobile Software.	PROMISE	2018	DBLP DOI BibTeX RDF
34	Mohammad Alahmadi, Jonathan Hassel, Biswas Parajuli, Sonia Haiduc, Piyush Kumar	Accurately Predicting the Location of Code Fragments in Programming Video Tutorials Using Deep Learning.	PROMISE	2018	DBLP DOI BibTeX RDF
34	Martí Manzano, Emilia Mendes, Cristina Gómez 0001, Claudia P. Ayala, Xavier Franch	Using Bayesian Networks to estimate Strategic Indicators in the context of Rapid Software Development.	PROMISE	2018	DBLP DOI BibTeX RDF
34	Rudolf Ferenc, Zoltán Tóth, Gergely Ladányi, István Siket, Tibor Gyimóthy	A Public Unified Bug Dataset for Java.	PROMISE	2018	DBLP DOI BibTeX RDF
34	Burak Turhan, David Bowes, Emad Shihab (eds.)	Proceedings of the 13th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2017, Toronto, Canada, November 8, 2017	PROMISE	2017	DBLP DOI BibTeX RDF
34	Turki Alelyani, Ke Mao, Ye Yang	Context-Centric Pricing: Early Pricing Models for Software Crowdsourcing Tasks.	PROMISE	2017	DBLP DOI BibTeX RDF
34	Riccardo Coppola, Maurizio Morisio, Marco Torchiano	Scripted GUI Testing of Android Apps: A Study on Diffusion, Evolution and Fragility.	PROMISE	2017	DBLP DOI BibTeX RDF
34	Christopher Thompson 0002, David A. Wagner 0001	A Large-Scale Study of Modern Code Review and Security in Open Source Projects.	PROMISE	2017	DBLP DOI BibTeX RDF
34	Tanzeem Bin Noor, Hadi Hemmati	Studying Test Case Failure Prediction for Test Case Prioritization.	PROMISE	2017	DBLP DOI BibTeX RDF
34	Sousuke Amasaki	On Applicability of Cross-project Defect Prediction Method for Multi-Versions Projects.	PROMISE	2017	DBLP DOI BibTeX RDF
34	Haidar Osman, Mohammad Ghafari, Oscar Nierstrasz, Mircea Lungu	An Extensive Analysis of Efficient Bug Prediction Configurations.	PROMISE	2017	DBLP DOI BibTeX RDF
34	Leandro L. Minku, Siqing Hou	Clustering Dycom: An Online Cross-Company Software Effort Estimation Study.	PROMISE	2017	DBLP DOI BibTeX RDF
34	John Businge, Simon Kawuma, Engineer Bainomugisha, Foutse Khomh, Evarist Nabaasa	Code Authorship and Fault-proneness of Open-Source Android Applications: An Empirical Study.	PROMISE	2017	DBLP DOI BibTeX RDF
34	Joydeep Mitra, Venkatesh-Prasad Ranganath	Ghera: A Repository of Android App Vulnerability Benchmarks.	PROMISE	2017	DBLP DOI BibTeX RDF
34	Stanislav Levin, Amiram Yehudai	Boosting Automatic Commit Classification Into Maintenance Activities By Utilizing Source Code Changes.	PROMISE	2017	DBLP DOI BibTeX RDF
34	Wisam Haitham Abbood Al-Zubaidi, Hoa Khanh Dam, Aditya Ghose, Xiaodong Li 0001	Multi-objective search-based approach to estimate issue resolution time.	PROMISE	2017	DBLP DOI BibTeX RDF
34	Harold Valdivia Garcia, Meiyappan Nagappan	The Characteristics of False-Negatives in File-level Fault Prediction.	PROMISE	2017	DBLP DOI BibTeX RDF