Requirements Engineering for Machine Learning: Perspectives from Data Scientists
暂无分享,去创建一个
[1] Lior Rokach,et al. Introduction to Knowledge Discovery and Data Mining , 2010, Data Mining and Knowledge Discovery Handbook.
[2] Danny Weyns,et al. A Classification Framework of Uncertainty in Architecture-Based Self-Adaptive Systems with Multiple Quality Requirements , 2015 .
[3] Takeo Kanade,et al. Software Engineering for Self-Adaptive Systems II , 2013, Lecture Notes in Computer Science.
[5] Jonas Paul Winkler,et al. Optimizing for Recall in Automatic Requirements Classification: An Empirical Study , 2019, 2019 IEEE 27th International Requirements Engineering Conference (RE).
[6] Rogério de Lemos,et al. Software Engineering for Self-Adaptive Systems [outcome of a Dagstuhl Seminar] , 2009, Software Engineering for Self-Adaptive Systems.
[7] Danny Weyns,et al. Software Engineering of Self-adaptive Systems , 2019, Handbook of Software Engineering.
[8] Graham R. Gibbs,et al. Analyzing Qualitative Data , 2014 .
[9] Trevor Darrell,et al. Women also Snowboard: Overcoming Bias in Captioning Models , 2018, ECCV.
[10] Anna Perini,et al. Engineering requirements for adaptive systems , 2015, Requirements Engineering.
[11] D. Sculley,et al. The ML test score: A rubric for ML production readiness and technical debt reduction , 2017, 2017 IEEE International Conference on Big Data (Big Data).
[12] Anna Perini,et al. A Machine Learning Approach to Software Requirements Prioritization , 2013, IEEE Transactions on Software Engineering.
[13] Natalia Miloslavskaya,et al. Big Data, Fast Data and Data Lake Concepts , 2016, BICA.
[14] Andreas Vogelsang,et al. Automatic Classification of Requirements Based on Convolutional Neural Networks , 2016, 2016 IEEE 24th International Requirements Engineering Conference Workshops (REW).
[15] Eric S. K. Yu,et al. Business-driven data analytics: A conceptual modeling framework , 2018, Data Knowl. Eng..
[16] Walid Maalej,et al. On the automatic classification of app reviews , 2016, Requirements Engineering.
[17] Jianwu Wang,et al. Big data provenance: Challenges, state of the art and opportunities , 2015, 2015 IEEE International Conference on Big Data (Big Data).
[18] Daniel M. Berry,et al. Evaluation of Tools for Hairy Requirements and Software Engineering Tasks , 2017, 2017 IEEE 25th International Requirements Engineering Conference Workshops (REW).
[19] Mahshid Helali Moghadam,et al. Machine Learning to Guide Performance Testing: An Autonomous Test Framework , 2019, 2019 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW).
[20] Andreas Vogelsang,et al. Extraction of System States from Natural Language Requirements , 2019, 2019 IEEE 27th International Requirements Engineering Conference (RE).
[21] Foutse Khomh,et al. Software Engineering for Machine-Learning Applications: The Road Ahead , 2018, IEEE Software.
[22] Carlos Guestrin,et al. "Why Should I Trust You?": Explaining the Predictions of Any Classifier , 2016, ArXiv.
[23] Björn Regnell,et al. An investigation of how quality requirements are specified in industrial practice , 2013, Inf. Softw. Technol..
[24] Jeffrey O. Kephart,et al. The Vision of Autonomic Computing , 2003, Computer.
[25] Markus Borg,et al. Safely Entering the Deep: A Review of Verification and Validation for Machine Learning and a Challenge Elicitation in the Automotive Industry , 2018, Journal of Automotive Software Engineering.
[26] Fuyuki Ishikawa,et al. How Do Engineers Perceive Difficulties in Engineering of Machine-Learning Systems? - Questionnaire Survey , 2019, 2019 IEEE/ACM Joint 7th International Workshop on Conducting Empirical Studies in Industry (CESI) and 6th International Workshop on Software Engineering Research and Industrial Practice (SER&IP).
[27] Amina Asif,et al. Ten ways to fool the masses with machine learning , 2019, ArXiv.
[28] Joseph A. Maxwell,et al. Qualitative Research Design: An Interactive Approach , 1996 .
[29] Lin Liu,et al. Requirements Engineering for Health Data Analytics: Challenges and Possible Directions , 2016, 2016 IEEE 24th International Requirements Engineering Conference (RE).
[30] Jonas Paul Winkler,et al. "What Does My Classifier Learn?" A Visual Approach to Understanding Natural Language Text Classifiers , 2017, NLDB.
[31] Jennifer Horkoff,et al. Non-Functional Requirements for Machine Learning: Challenges and New Directions , 2019, 2019 IEEE 27th International Requirements Engineering Conference (RE).
[32] Mehrdad Sabetzadeh,et al. An Active Learning Approach for Improving the Accuracy of Automated Domain Model Extraction , 2019, ACM Trans. Softw. Eng. Methodol..
[33] Yujie Li,et al. Using Reinforcement Learning to Handle the Runtime Uncertainties in Self-adaptive Software , 2018, STAF Workshops.