Fetching the paper…
Reading the bibliography…
Misconfigurations are major causes of software failures.
Why Do Internet Services Fail, and What Can Be Done About It?
Oppenheimer, D., Ganapathi, A., and Patterson, D. A · 2003
Earlier work this paper cites.
STRIDER: A Black-box, State-based Approach to Change and Configuration Management and Support
Wang, Y.-M., Verbowski, C., Dunagan, J., Chen, Y., Wang, H. J., Yuan, C., and Zhang, Z · 2003
Earlier work this paper cites.
Discovering Correctness Constraints for Self-Management of System Configuration
Kiciman, E., and Wang, Y.-M · 2004
Earlier work this paper cites.
Automatic Misconfiguration Troubleshooting with PeerPressure
Wang, H. J., Platt, J. C., Chen, Y., Zhang, R., and Wang, Y.-M · 2004
Earlier work this paper cites.
Privacy-Preserving Friends Troubleshooting Network
Huang, Q., Wang, H. J., and Borisov, N · 2005
Earlier work this paper cites.
ACMS: Akamai Configuration Management System
Sherman, A., Lisiecki, P., Berkheimer, A., and Wein, J · 2005
Earlier work this paper cites.
Minerals: Using Data Mining to Detect Router Misconfigurations
Le, F., Lee, S., Wong, T., Kim, H. S., and Newcomb, D · 2006
Earlier work this paper cites.
Mining for Misconfigured Machines in Grid Systems
Palatin, N., Leizarowitz, A., Schuster, A., and Wolff, R · 2006
Earlier work this paper cites.
ConfErr: A Tool for Assessing Resilience to Human Configuration Errors
Keller, L., Upadhyaya, P., and Candea, G · 2008
Earlier work this paper cites.
Automating configuration troubleshooting with dynamic information flow analysis
Attariyan, M., and Flinn, J · 2010
Earlier work this paper cites.
Precomputing Possible Configuration Error Diagnosis
Rabkin, A., and Katz, R · 2011
Earlier work this paper cites.
Static Extraction of Program Configuration Options
Rabkin, A., and Katz, R · 2011
Earlier work this paper cites.
An Empirical Study on Configuration Errors in Commercial and Open Source Systems
Yin, Z., Ma, X., Zheng, J., Zhou, Y., Bairavasundaram, L. N., and Pasupathy, S · 2011
Earlier work this paper cites.
What Takes Us Down?
Kendrick, S · 2012
Earlier work this paper cites.
How Hadoop Clusters Break
Rabkin, A., and Katz, R · 2013
Earlier work this paper cites.
Do Not Blame Users for Misconfigurations
Xu, T., Zhang, J., Huang, P., Zheng, J., Sheng, T., Yuan, D., Zhou, Y., and Pasupathy, S · 2013
Earlier work this paper cites.
EnCore: Exploiting System Environment and Correlation Information for Misconfiguration Detection
Zhang, J., Renganarayana, L., Zhang, X., Ge, N., Bala, V., Xu, T., and Zhou, Y · 2014
Earlier work this paper cites.
Which Configuration Option Should I Change?
Zhang, S., and Ernst, M. D · 2014
Earlier work this paper cites.
ConfValley: A Systematic Configuration Validation Framework for Cloud Services
Huang, P., Bolosky, W. J., Sigh, A., and Zhou, Y · 2015
Earlier work this paper cites.
Fail at Scale: Reliability in the Face of Rapid Change
Maurer, B · 2015
Earlier work this paper cites.
Where do configuration constraints stem from? an extraction approach and an empirical study
Nadi, S., Berger, T., Kästner, C., and Czarnecki, K · 2015
Earlier work this paper cites.
ConfSeer: Leveraging Customer Support Knowledge Bases for Automated Misconfiguration Detection
Potharaju, R., Chan, J., Hu, L., Nita-Rotaru, C., Wang, M., Zhang, L., and Jain, N · 2015
Earlier work this paper cites.
Holistic Configuration Management at Facebook
Tang, C., Kooburat, T., Venkatachalam, P., Chander, A., Wen, Z., Narayanan, A., Dowell, P., and Karl, R · 2015
Earlier work this paper cites.
Hey, You Have Given Me Too Many Knobs! Understanding and Dealing with Over-Designed Configuration in System Software
Xu, T., Jin, L., Fan, X., Zhou, Y., Pasupathy, S., and Talwadker, R · 2015
Earlier work this paper cites.
Systems Approaches to Tackling Configuration Errors: A Survey
Xu, T., and Zhou, Y · 2015
Earlier work this paper cites.
Why Does the Cloud Stop Computing? Lessons from Hundreds of Service Outages
Gunawi, H. S., Hao, M., Suminto, R. O., Laksono, A., Satria, A. D., Adityatama, J., and Eliazar, K. J · 2016
Earlier work this paper cites.
On Essential Configuration Complexity: Measuring Interations in Highly-Configurable Systems
Meinicke, J., Wong, C.-P., Kästner, C., Thüm, T., and Saake, G · 2016
Earlier work this paper cites.
Probabilistic Automated Language Learning for Configuration Files
Santolucito, M., Zhai, E., and Piskac, R · 2016
Earlier work this paper cites.
Early Detection of Configuration Errors to Reduce Failure Damage
Xu, T., Jin, X., Huang, P., Zhou, Y., Lu, S., Jin, L., and Pasupathy, S · 2016
Earlier work this paper cites.
Usable Declarative Configuration Specification and Validation for Applications, Systems, and Cloud
Baset, S., Suneja, S., Bila, N., Tuncer, O., and Isci, C · 2017
Earlier work this paper cites.
Towards Automated Configuration of Systems with Non-Functional Constraints
Leuschner, L., Küttler, M., Stumpf, T., Baier, C., Härtig, H., and Klüppelholz, S · 2017
Earlier work this paper cites.
Challenges in Validating FLOSS Configuration
Raab, M., and Barany, G · 2017
Earlier work this paper cites.
Synthesizing Configuration File Specifications with Association Rule Learning
Santolucito, M., Zhai, E., Dhodapkar, R., Shim, A., and Piskac, R · 2017
Cited alongside, same era.
The Datacenter as a Computer: Designing Warehouse-Scale Machines
Barroso, L. A., Hölzle, U., and Ranganathan, P · 2018
Cited alongside, same era.
Site Reliability Workbook: Practical Ways to Implement SRE
Beyer, B., Murphy, N. R., Rensin, D. K., Kawahara, K., and Thorne, S · 2018
Cited alongside, same era.
Mapping language to code in programmatic context
Iyer, S., Konstas, I., Cheung, A., and Zettlemoyer, L · 2018
Cited alongside, same era.
ConfVD: System Reactions Analysis and Evaluation Through Misconfiguration Injection
Li, S., Li, W., Liao, X., Peng, S., Zhou, S., Jia, Z., and Wang, T · 2018
Cited alongside, same era.
https://openai.com/blog/openai-codex , 2022
Codex · 2022
Later among the works it cites.
https://github.com/langchain-ai/langchain , 2022
Langchain · 2022
Later among the works it cites.
Few-shot training LLMs for project-specific code-summarization
Ahmed, T., and Devanbu, P · 2022
Later among the works it cites.
Competition-level code generation with alphacode
Li, Y., Choi, D., Chung, J., Kushman, N., Schrittwieser, J., Leblond, R., Eccles, T., Keeling, J., Gimeno, F., Dal Lago, A., et al · 2022
Later among the works it cites.
Rethinking the role of demonstrations: What makes in-context learning work?
Min, S., Lyu, X., Holtzman, A., Artetxe, M., Lewis, M., Hajishirzi, H., and Zettlemoyer, L · 2022
Later among the works it cites.
Webgpt: Browser-assisted question-answering with human feedback
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Do You Really Know How to Configure Your Software? Configuration Constraints in Source Code May Help
Liao, X., Zhou, S., Li, S., Jia, Z., Liu, X., and He, H · 2018
Cited alongside, same era.
Software Configuration Engineering in Practice: Interviews, Surveys, and Systematic Literature Review
Sayagh, M., Kerzazi, N., Adams, B., and Petrillo, F · 2018
Cited alongside, same era.
Make up your mind! adversarial generation of inconsistent natural language explanations
Camburu, O.-M., Shillingford, B., Minervini, P., Lukasiewicz, T., and Blunsom, P · 2019
Cited alongside, same era.
Anomaly detection from system tracing data using multimodal deep learning
Nedelkoski, S., Cardoso, J., and Kao, O · 2019
Cited alongside, same era.
Configuration Testing: Testing Configuration Values as Code and with Code
Xu, T., and Legunsen, O · 2019
Cited alongside, same era.
Fine-tuning language models from human preferences
Ziegler, D. M., Stiennon, N., Wu, J., Brown, T. B., Radford, A., Amodei, D., Christiano, P., and Irving, G · 2019
Cited alongside, same era.
https://github.com/xlab-uiuc/openctest , 2020
Openctest · 2020
Cited alongside, same era.
Nakano, R., Hilton, J., Balaji, S., Wu, J., Ouyang, L., Kim, C., Hesse, C., Jain, S., Kosaraju, V., Saunders, W., Jiang, X., Cobbe, K., Eloundou, T., Krueger, G., Button, K., Knight, M., Chess, B., and Schulman, J · 2022
Later among the works it cites.
Codegen: An open large language model for code with multi-turn program synthesis
Nijkamp, E., Pang, B., Hayashi, H., Tu, L., Wang, H., Zhou, Y., Savarese, S., and Xiong, C · 2022
Later among the works it cites.
Chain-of-thought prompting elicits reasoning in large language models
Wei, J., Wang, X., Schuurmans, D., Bosma, M., Xia, F., Chi, E., Le, Q. V., Zhou, D., et al · 2022
Later among the works it cites.
A Systematic Evaluation of Large Language Models of Code
Xu, F. F., Alon, U., Neubig, G., and J.Hellendoorn, V · 2022
Later among the works it cites.
Automatic chain of thought prompting in large language models
Zhang, Z., Zhang, A., Li, M., and Smola, A · 2022
Later among the works it cites.
Recommending Root-Cause and Mitigation Steps for Cloud Incidents Using Large Language Models
Ahmed, T., Ghosh, S., Bansal, C., Zimmermann, T., Zhang, X., and Rajmohan, S · 2023
Closest in time.
Introducing 100k context windows
Anthropic · 2023
Closest in time.
Bang, Y., Cahyawijaya, S., Lee, N., Dai, W., Su, D., Wilie, B., Lovenia, H., Ji, Z., Yu, T., Chung, W., et al · 2023
Closest in time.
Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents
Chen, Y., Xie, H., Ma, M., Kang, Y., Gao, X., Shi, L., Cao, Y., Gao, X., Fan, H., Wen, M., et al · 2023
Closest in time.
Automated repair of programs from large language models
Fan, Z., Gao, X., Mirchev, M., Roychoudhury, A., and Tan, S. H · 2023
Closest in time.
InCoder: A Generative Model for Code Infilling and Synthesis
Fried, D., Aghajanyan, A., Lin, J., Wang, S., Wallace, E., Shi, F., Zhong, R., tau Yih, W., Zettlemoyer, L., and Lewis, M · 2023
Closest in time.
Towards Reasoning in Large Language Models: A Survey
Huang, J., and Chang, K. C.-C · 2023
Closest in time.
Trustworthy llms: a survey and guideline for evaluating large language models’ alignment
Liu, Y., Yao, Y., Ton, J.-F., Zhang, X., Guo, R., Cheng, H., Klochkov, Y., Taufiq, M. F., and Li, H · 2023
Closest in time.
Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models
Manakul, P., Liusie, A., and Gales, M. J. F · 2023
Closest in time.
Vulchecker: Graph-based vulnerability localization in source code
Mirsky, Y., Macon, G., Brown, M., Yagemann, C., Pruett, M., Downing, E., Mertoguno, S., and Lee, W · 2023
Closest in time.
OpenAI · 2023
Closest in time.
VeriGen: A Large Language Model for Verilog Code Generation
Thakur, S., Ahmad, B., Pearce, H., Tan, B., Dolan-Gavitt, B., Karri, R., and Garg, S · 2023
Closest in time.
Test Selection for Unified Regression Testing
Wang, S., Lian, X., Marinov, D., and Xu, T · 2023
Closest in time.
ConfTainter: Static Taint Analysis For Configuration Options
Wang, T., He, H., Liu, X., Li, S., Jia, Z., Jiang, Y., Liao, Q., and Li, W · 2023
Closest in time.
Understanding and Detecting On-the-Fly Configuration Bugs
Wang, T., Jia, Z., Li, S., Zheng, S., Yu, Y., Xu, E., Peng, S., and Liao, X · 2023
Closest in time.
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Wang, X., Wei, J., Schuurmans, D., Le, Q., Chi, E., Narang, S., Chowdhery, A., and Zhou, D · 2023
Closest in time.
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Wei, J., Wang, X., Schuurmans, D., Bosma, M., Ichter, B., Xia, F., Chi, E., Le, Q., and Zhou, D · 2023
Closest in time.
Autogen: Enabling next-gen llm applications via multi-agent conversation, 2023
Wu, Q., Bansal, G., Zhang, J., Wu, Y., Li, B., Zhu, E., Jiang, L., Zhang, X., Zhang, S., Liu, J., Awadallah, A. H., White, R. W., Burger, D., and Wang, C · 2023
Closest in time.
Universal fuzzing via large language models
Xia, C. S., Paltenghi, M., Tian, J. L., Pradel, M., and Zhang, L · 2023
Closest in time.
Automated Program Repair in the Era of Large Pre-Trained Language Models
Xia, C. S., Wei, Y., and Zhang, L · 2023
Closest in time.
Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models
Zhang, Y., Li, Y., Cui, L., Cai, D., Liu, L., Fu, T., Huang, X., Zhao, E., Zhang, Y., Chen, Y., et al · 2023
Closest in time.
Code llama: Open foundation models for code, 2024
Rozière, B., Gehring, J., Gloeckle, F., Sootla, S., Gat, I., Tan, X. E., Adi, Y., Liu, J., Sauvestre, R., Remez, T., Rapin, J., Kozhevnikov, A., Evtimov, I., Bitton, J., Bhatt, M., Ferrer, C. C., Grattafiori, A., Xiong, W., Défossez, A., Copet, J., Azhar, F., Touvron, H., Martin, L., Usunier, N., Scialom, T., and Synnaeve, G · 2024
Closest in time.