Requirements engineering framework for human-centered artificial intelligence software systems

[1]  John C. Grundy,et al.  Requirements Practices and Gaps When Engineering Human-Centered Artificial Intelligence Systems , 2023, Applied Soft Computing.

[2]  Arbind Agrahari Baniya,et al.  Omnidirectional Video Super-Resolution using Deep Learning , 2023, IEEE Transactions on Multimedia.

[3]  D. Berry.  Requirements Engineering for Artificial Intelligence: What Is a Requirements Specification for an Artificial Intelligence? , 2022, REFSQ.

[4]  Sari Kujala,et al.  Transparency and Explainability of AI Systems: Ethical Guidelines in Practice , 2022, REFSQ.

[5]  Rachel Dzombak,et al.  Human-Centered AI , 2021, IEEE Pervasive Comput..

[6]  J. Grundy,et al.  What’s up with Requirements Engineering for Artificial Intelligence Systems? , 2021, 2021 IEEE 29th International Requirements Engineering Conference (RE).

[7]  Marcos Kalinowski,et al.  Requirements Engineering for Machine Learning: A Systematic Mapping Study , 2021, 2021 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA).

[8]  Didar Zowghi,et al.  Machine Learning in Requirements Engineering: A Mapping Study , 2021, 2021 IEEE 29th International Requirements Engineering Conference Workshops (REW).

[9]  Tanjila Kanij,et al.  Evaluating Age Bias In E-commerce , 2021, 2021 IEEE/ACM 13th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE).

[10]  Eric Yu,et al.  Modeling machine learning requirements from three perspectives: a case report from the healthcare domain , 2021, Requir. Eng..

[11]  Mark A. Neerincx,et al.  Human-centered XAI: Developing design patterns for explanations of clinical decision support systems , 2021, Int. J. Hum. Comput. Stud..

[12]  John C. Grundy,et al.  Impact of End User Human Aspects on Software Engineering , 2021, ENASE.

[13]  Giancarlo Guizzardi,et al.  Ontology-Based Modeling and Analysis of Trustworthiness Requirements: Preliminary Results , 2020, ER.

[14]  Ben Shneiderman,et al.  Bridging the Gap Between Ethics and Practice , 2020, ACM Trans. Interact. Intell. Syst..

[15]  Ben Shneiderman,et al.  Human-Centered Artificial Intelligence: Three Fresh Ideas , 2020, AIS Transactions on Human-Computer Interaction.

[16]  Albrecht Schmidt,et al.  Interactive Human Centered Artificial Intelligence: A Definition and Research Challenges , 2020, AVI.

[17]  Nan Niu,et al.  Faulty Requirements Made Valuable: On the Role of Data Quality in Deep Learning , 2020, 2020 IEEE Seventh International Workshop on Artificial Intelligence for Requirements Engineering (AIRE).

[18]  Dietmar Nedbal,et al.  Scenario-Based Requirements Elicitation for User-Centric Explainable AI - A Case in Fraud Detection , 2020, CD-MAKE.

[19]  Jing Wang,et al.  Subjective QoE of 360-Degree Virtual Reality Videos and Machine Learning Predictions , 2020, IEEE Access.

[20]  Pascal Frossard,et al.  Visual Distortions in 360° Videos , 2020, IEEE Transactions on Circuits and Systems for Video Technology.

[21]  Ville Vakkuri,et al.  ECCOLA - a Method for Implementing Ethically Aligned AI Systems , 2020, 2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA).

[22]  Meng-Leong How,et al.  Artificial Intelligence-Enhanced Decision Support for Informing Global Sustainable Development: A Human-Centric AI-Thinking Approach , 2020, Inf..

[23]  Georgios Fainekos,et al.  Requirements-Driven Test Generation for Autonomous Vehicles With Machine Learning Components , 2019, IEEE Transactions on Intelligent Vehicles.

[24]  Waqar Hussain,et al.  A Study on the Prevalence of Human Values in Software Engineering Publications, 2015 - 2018 , 2019, 2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE).

[25]  Hirotoshi Yasuoka,et al.  Engineering problems in machine learning systems , 2019, Machine Learning.

[26]  Paul R. Daugherty,et al.  HUMAN + MACHINE: REIMAGINING WORK IN THE AGE OF AI , 2020 .

[27]  John Grundy,et al.  Visual Languages for Supporting Big Data Analytics Development , 2020, ENASE.

[28]  Jan Steffen Becker,et al.  Partial Consistency for Requirement Engineering with Traffic Sequence Charts , 2020, Software Engineering.

[29]  Temitayo M. Fagbola,et al.  Towards the Development of Artificial Intelligence-based Systems: Human-Centered Functional Requirements and Open Problems , 2019, 2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS).

[30]  Dimitri Bohlender,et al.  Explainability as a Non-Functional Requirement , 2019, 2019 IEEE 27th International Requirements Engineering Conference (RE).

[31]  Cheng-Hsin Hsu,et al.  A Survey on 360° Video Streaming , 2019, ACM Comput. Surv..

[32]  Hrvoje Belani,et al.  Requirements Engineering Challenges in Building AI-Based Complex Systems , 2019, 2019 IEEE 27th International Requirements Engineering Conference Workshops (REW).

[33]  Andreas Vogelsang,et al.  Requirements Engineering for Machine Learning: Perspectives from Data Scientists , 2019, 2019 IEEE 27th International Requirements Engineering Conference Workshops (REW).

[34]  Hiroshi Kuwajima,et al.  Adapting SQuaRE for Quality Assessment of Artificial Intelligence Systems , 2019, 2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW).

[35]  Kurt Sandkuhl,et al.  Putting AI into Context - Method Support for the Introduction of Artificial Intelligence into Organizations , 2019, 2019 IEEE 21st Conference on Business Informatics (CBI).

[36]  Ivica Crnkovic,et al.  A Taxonomy of Software Engineering Challenges for Machine Learning Systems: An Empirical Investigation , 2019, XP.

[37]  Wonjong Rhee,et al.  Data Requirements for Applying Machine Learning to Energy Disaggregation , 2019, Energies.

[38]  Margaret Burnett,et al.  From Gender Biases to Gender-Inclusive Design: An Empirical Investigation , 2019, CHI.

[39]  Paul N. Bennett,et al.  Guidelines for Human-AI Interaction , 2019, CHI.

[40]  Harald C. Gall,et al.  Software Engineering for Machine Learning: A Case Study , 2019, 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP).

[41]  George Dimitrakopoulos,et al.  Α capability-oriented modelling and simulation approach for autonomous vehicle management , 2019, Simul. Model. Pract. Theory.

[42]  Leslie Pack Kaelbling,et al.  Effect of Depth and Width on Local Minima in Deep Learning , 2018, Neural Computation.

[43]  John Grundy,et al.  BiDaML: A Suite of Visual Languages for Supporting End-User Data Analytics , 2019, 2019 IEEE International Congress on Big Data (BigDataCongress).

[44]  John Grundy,et al.  Emotion-oriented requirements engineering: A case study in developing a smart home system for the elderly , 2019, J. Syst. Softw..

[45]  Eric S. K. Yu,et al.  Business-driven data analytics: A conceptual modeling framework , 2018, Data Knowl. Eng..

[46]  Fabiano Dalpiaz,et al.  A Roadmap for Ethics-Aware Software Engineering , 2018, 2018 IEEE/ACM International Workshop on Software Fairness (FairWare).

[47]  Ivica Crnkovic,et al.  It takes three to tango: Requirement, outcome/data, and AI driven development , 2018, SiBW.

[48]  Javier Martinez Silva,et al.  Requirements Engineering at a Glance: Comparing GORE and UML methods in the design of automated systems , 2018 .

[49]  Paul R. Daugherty,et al.  Collaborative Intelligence: Humans and AI Are Joining Forces , 2018 .

[50]  Andrew Cain,et al.  Supporting Diverse Challenges of Ageing with Digital Enhanced Living Solutions. , 2018, Studies in health technology and informatics.

[51]  Robert Roncace,et al.  Goal model analysis of autonomy requirements for Unmanned Aircraft Systems , 2017, Requirements Engineering.

[52]  Chris Russell,et al.  Counterfactual Explanations Without Opening the Black Box: Automated Decisions and the GDPR , 2017, ArXiv.

[53]  Eric Sax,et al.  Data-driven development, a complementing approach for automotive systems engineering , 2017, 2017 IEEE International Systems Engineering Symposium (ISSE).

[54]  Zhili Chen,et al.  6-DOF VR videos with a single 360-camera , 2017, 2017 IEEE Virtual Reality (VR).

[55]  Seth Flaxman,et al.  European Union Regulations on Algorithmic Decision-Making and a "Right to Explanation" , 2016, AI Mag..

[56]  Margaret M. Burnett,et al.  Finding Gender-Inclusiveness Software Issues with GenderMag: A Field Investigation , 2016, CHI.

[57]  Kenney Ng,et al.  Interacting with Predictions: Visual Inspection of Black-box Machine Learning Models , 2016, CHI.

[58]  Emilia Mendes,et al.  The effect of software engineers' personality traits on team climate and performance: A Systematic Literature Review , 2016, Inf. Softw. Technol..

[59]  D. Sculley,et al.  Hidden Technical Debt in Machine Learning Systems , 2015, NIPS.

[60]  Leon Sterling,et al.  Emotion-led modelling for people-oriented requirements engineering: The case study of emergency systems , 2015, J. Syst. Softw..

[61]  John C. Grundy,et al.  An Empirical Investigation of Personality Traits of Software Testers , 2015, 2015 IEEE/ACM 8th International Workshop on Cooperative and Human Aspects of Software Engineering.

[62]  Maya Cakmak,et al.  Power to the People: The Role of Humans in Interactive Machine Learning , 2014, AI Mag..

[63]  Fulvio Mastrogiovanni,et al.  Functional requirements and design issues for a socially assistive robot for elderly people with mild cognitive impairments , 2013, 2013 IEEE RO-MAN.

[64]  Toon Calders,et al.  Why Unbiased Computational Processes Can Lead to Discriminative Decision Procedures , 2013, Discrimination and Privacy in the Information Society.

[65]  Ulrich Frank,et al.  Domain-Specific Modeling Languages: Requirements Analysis and Design Guidelines , 2013, Domain Engineering, Product Lines, Languages, and Conceptual Models.

[66]  K. Zachos,et al.  Evoking Emotion through Stories in Creative Dementia Care , 2013 .

[67]  S. Schwartz.  An Overview of the Schwartz Theory of Basic Values , 2012 .

[68]  Leon Sterling,et al.  Understanding socially oriented roles and goals through motivational modelling , 2012, J. Syst. Softw..

[69]  Neil A. M. Maiden,et al.  Spocks and Kirks in the Requirements Universe , 2012, IEEE Software.

[70]  N. Maiden,et al.  Power and politics in requirements engineering: embracing the dark side? , 2012, Requirements Engineering.

[71]  Bernhard Thalheim,et al.  Handbook of Conceptual Modeling - Theory, Practice, and Research Challenges , 2011 .

[72]  Ricardo Colomo Palacios,et al.  A Study of Emotions in Requirements Engineering , 2010, WSKS.

[73]  Daniel L. Moody,et al.  The “Physics” of Notations: Toward a Scientific Basis for Constructing Visual Notations in Software Engineering , 2009, IEEE Transactions on Software Engineering.

[74]  ITU-T Rec. P.910 (04/2008) Subjective video quality assessment methods for multimedia applications , 2009 .

[75]  Kevin A. Schneider,et al.  Emotional Requirements , 2008, IEEE Software.

[76]  Daniela E. Damian,et al.  Selecting Empirical Methods for Software Engineering Research , 2008, Guide to Advanced Empirical Software Engineering.

[77]  Isabel Ramos,et al.  Is emotion relevant to requirements engineering? , 2005, Requirements Engineering.

[78]  Martin C. Maguire,et al.  Methods to support human-centred design , 2001, Int. J. Hum. Comput. Stud..

[79]  B. Kitchenham,et al.  Case Studies for Method and Tool Evaluation , 1995, IEEE Softw..