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Helena Holmström Olsson
Helena Holmström
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2020 – today
- 2023
- [j31]Anas Dakkak
, Jan Bosch, Helena Holmström Olsson, David Issa Mattos:
Continuous deployment in software-intensive system-of-systems. Inf. Softw. Technol. 159: 107200 (2023) - [j30]David Issa Mattos
, Anas Dakkak, Jan Bosch, Helena Holmström Olsson
:
The HURRIER process for experimentation in business-to-business mission-critical systems. J. Softw. Evol. Process. 35(5) (2023) - [j29]Meenu Mary John
, Helena Holmström Olsson
, Jan Bosch:
Towards an AI-driven business development framework: A multi-case study. J. Softw. Evol. Process. 35(6) (2023) - [c118]Hongyi Zhang, Jingya Li, Zhiqiang Tyler Qi, Anders Aronsson, Jan Bosch, Helena Holmström Olsson:
Multi-Agent Reinforcement Learning in Dynamic Industrial Context. COMPSAC 2023: 448-457 - [c117]Hongyi Zhang, Jingya Li, Zhiqiang Tyler Qi, Anders Aronsson, Jan Bosch, Helena Holmström Olsson:
Deep Reinforcement Learning for Multiple Agents in a Decentralized Architecture: A Case Study in the Telecommunication Domain. ICSA-C 2023: 183-186 - [c116]Helena Holmström Olsson, Jan Bosch:
What Got You Here Won't Get You There. A multi-case study on the challenges in the transition from traditional towards continuous data practices in the embedded systems domain. Software Product Management 2023 - [i12]Anas Dakkak, Jan Bosch, Helena Holmström Olsson:
DevServOps: DevOps For Product-Oriented Product-Service Systems. CoRR abs/2305.08601 (2023) - [i11]Hongyi Zhang, Jan Bosch, Helena Holmström Olsson:
EdgeFL: A Lightweight Decentralized Federated Learning Framework. CoRR abs/2309.02936 (2023) - 2022
- [j28]Iris Figalist, Christoph Elsner
, Jan Bosch
, Helena Holmström Olsson
:
Breaking the vicious circle: A case study on why AI for software analytics and business intelligence does not take off in practice. J. Syst. Softw. 184: 111135 (2022) - [j27]Aiswarya Raj Munappy
, Jan Bosch
, Helena Holmström Olsson
, Anders Arpteg, Björn Brinne:
Data management for production quality deep learning models: Challenges and solutions. J. Syst. Softw. 191: 111359 (2022) - [j26]Jan Bosch, Helena Holmström Olsson
, Björn Brinne, Ivica Crnkovic:
AI Engineering: Realizing the Potential of AI. IEEE Softw. 39(6): 23-27 (2022) - [c115]Hongyi Zhang, Jingya Li, Zhiqiang Tyler Qi, Xingqin Lin, Anders Aronsson, Jan Bosch, Helena Holmström Olsson:
Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning. FNWF 2022: 184-189 - [c114]Rimma Dzhusupova, Richa Banotra, Jan Bosch, Helena Holmström Olsson:
Pattern Recognition Method for Detecting Engineering Errors on Technical Drawings. AIIoT 2022: 642-648 - [c113]Rimma Dzhusupova, Jan Bosch, Helena Holmström Olsson:
The goldilocks framework: towards selecting the optimal approach to conducting AI projects. CAIN 2022: 124-135 - [c112]Anas Dakkak, Aiswarya Raj Munappy, Jan Bosch, Helena Holmström Olsson:
Customer Support In The Era of Continuous Deployment: A Software-Intensive Embedded Systems Case Study. COMPSAC 2022: 914-923 - [c111]Rimma Dzhusupova, Jan Bosch, Helena Holmström Olsson:
Challenges in developing and deploying AI in the engineering, procurement and construction industry. COMPSAC 2022: 1070-1075 - [c110]Hongyi Zhang, Jingya Li, Zhiqiang Tyler Qi, Xingqin Lin, Anders Aronsson, Jan Bosch, Helena Holmström Olsson:
Deep Reinforcement Learning in a Dynamic Environment: A Case Study in the Telecommunication Industry. SEAA 2022: 68-75 - [c109]Helena Holmström Olsson, Jan Bosch:
Living in a Pink Cloud or Fighting a Whack-a-Mole? On the Creation of Recurring Revenue Streams in the Embedded Systems Domain. SEAA 2022: 161-168 - [c108]Anas Dakkak, Jan Bosch, Helena Holmström Olsson:
The Role Of Post-Release Software Traceability in Release Engineering: A Software-Intensive Embedded Systems Case Study From The Telecommunications Domain. SEAA 2022: 169-176 - [c107]Sami Hyrynsalmi, Helena Holmström Olsson, Jan Bosch, Sonja Hyrynsalmi:
Quō vādis, Data Business? - A Study for Understanding Maturity of Embedded System Companies in Data Economy. ICSOB 2022: 141-148 - [c106]Anas Dakkak, Jan Bosch, Helena Holmström Olsson:
Controlled Continuous Deployment: A Case Study From The Telecommunications Domain. ICSSP/ICGSE 2022: 24-33 - [c105]Teodor Fredriksson, Jan Bosch, Helena Holmström Olsson, David Issa Mattos:
Machine Learning Algorithms for Labeling: Where and How They are Used? SysCon 2022: 1-8 - [p9]Helena Holmström Olsson, Hiva Allahyari, Jan Bosch:
Chapter 1 Climbing the Stairway to Heaven. Accelerating Digital Transformation 2022: 7-22 - [p8]Helena Holmström Olsson:
Introduction to the Customer Data and Ecosystem-Driven Development Theme. Accelerating Digital Transformation 2022: 287-291 - [p7]David Issa Mattos, Anas Dakkak, Jan Bosch, Helena Holmström Olsson:
Chapter 11 Experimentation for Business-to-Business Mission-Critical Systems: A Case Study. Accelerating Digital Transformation 2022: 351-371 - [p6]Aleksander Fabijan, Pavel A. Dmitriev, Jan Bosch, Helena Holmström Olsson:
Chapter 12 The Evolution of Continuous Experimentation in Software Product Development: From Data to a Data-Driven Organization at Scale. Accelerating Digital Transformation 2022: 373-395 - [p5]Jan Bosch, Helena Holmström Olsson, Ivica Crnkovic:
Chapter 13 Engineering AI Systems - A Research Agenda. Accelerating Digital Transformation 2022: 407-425 - [e3]Jan Bosch
, Jan Carlson, Helena Holmström Olsson, Kristian Sandahl, Miroslaw Staron:
Accelerating Digital Transformation - 10 Years of Software Center. Springer 2022, ISBN 978-3-031-10872-3 [contents] - [i10]Hongyi Zhang, Jingya Li, Zhiqiang Tyler Qi, Xingqin Lin, Anders Aronsson, Jan Bosch, Helena Holmström Olsson:
5G Network on Wings: A Deep Reinforcement Learning Approach to UAV-based Integrated Access and Backhaul. CoRR abs/2202.02006 (2022) - [i9]Yuchu Liu, David Issa Mattos, Jan Bosch, Helena Holmström Olsson, Jonn Lantz:
Bayesian causal inference in automotive software engineering and online evaluation. CoRR abs/2207.00222 (2022) - 2021
- [j25]Iris Figalist, Christoph Elsner, Jan Bosch, Helena Holmström Olsson:
Fast and curious: A model for building efficient monitoring- and decision-making frameworks based on quantitative data. Inf. Softw. Technol. 132: 106458 (2021) - [j24]Marco Konersmann, Brian Fitzgerald, Michael Goedicke, Helena Holmström Olsson, Jan Bosch, Stephan Krusche:
Rapid Continuous Software Engineering - State of the Practice and Open Research Questions: Report on the 6th International Workshop on Rapid Continuous Software Engineering (RCoSE 2020). ACM SIGSOFT Softw. Eng. Notes 46(1): 25-27 (2021) - [j23]Jan Bosch
, Helena Holmström Olsson
:
Digital for real: A multicase study on the digital transformation of companies in the embedded systems domain. J. Softw. Evol. Process. 33(5) (2021) - [j22]David Issa Mattos
, Jan Bosch, Helena Holmström Olsson:
Statistical Models for the Analysis of Optimization Algorithms With Benchmark Functions. IEEE Trans. Evol. Comput. 25(6): 1163-1177 (2021) - [c104]Yuchu Liu, David Issa Mattos, Jan Bosch, Helena Holmström Olsson, Jonn Lantz:
Bayesian propensity score matching in automotive embedded software engineering. APSEC 2021: 233-242 - [c103]Anas Dakkak, Hongyi Zhang, David Issa Mattos, Jan Bosch, Helena Holmström Olsson:
Towards Continuous Data Collection from In-service Products: Exploring the Relation Between Data Dimensions and Collection Challenges. APSEC 2021: 243-252 - [c102]M. Aiswarya Raj, Jan Bosch, Helena Holmström Olsson, Anders Jansson:
On the Impact of ML use cases on Industrial Data Pipelines. APSEC 2021: 463-472 - [c101]Teodor Fredriksson, David Issa Mattos, Jan Bosch, Helena Holmström Olsson:
An Empirical Evaluation of Algorithms for Data Labeling. COMPSAC 2021: 201-209 - [c100]Hongyi Zhang, Jan Bosch, Helena Holmström Olsson:
Real-time End-to-End Federated Learning: An Automotive Case Study. COMPSAC 2021: 459-468 - [c99]Yuchu Liu, Jan Bosch, Helena Holmström Olsson, Jonn Lantz:
An architecture for enabling A/B experiments in automotive embedded software. COMPSAC 2021: 992-997 - [c98]Meenu Mary John, Helena Holmström Olsson, Jan Bosch:
Towards MLOps: A Framework and Maturity Model. SEAA 2021: 1-8 - [c97]Yuchu Liu, David Issa Mattos, Jan Bosch, Helena Holmström Olsson, Jonn Lantz:
Size matters? Or not: A/B testing with limited sample in automotive embedded software. SEAA 2021: 300-307 - [c96]Hongyi Zhang, Jan Bosch, Helena Holmström Olsson, Ashok Chaitanya Koppisetty:
AF-DNDF: Asynchronous Federated Learning of Deep Neural Decision Forests. SEAA 2021: 308-315 - [c95]Teodor Fredriksson, David Issa Mattos, Jan Bosch, Helena Holmström Olsson:
Assessing the Suitability of Semi-Supervised Learning Datasets using Item Response Theory. SEAA 2021: 326-333 - [c94]Hongyi Zhang, Anas Dakkak, David Issa Mattos, Jan Bosch, Helena Holmström Olsson:
Towards Federated Learning: A Case Study in the Telecommunication Domain. ICSOB 2021: 238-253 - [c93]Hongyi Zhang, Jan Bosch, Helena Holmström Olsson:
End-to-End Federated Learning for Autonomous Driving Vehicles. IJCNN 2021: 1-8 - [c92]Aiswarya Raj Munappy, Jan Bosch, Helena Holmström Olsson:
On the Trade-off Between Robustness and Complexity in Data Pipelines. QUATIC 2021: 401-415 - [i8]Hongyi Zhang, Jan Bosch, Helena Holmström Olsson:
Real-time End-to-End Federated Learning: An Automotive Case Study. CoRR abs/2103.11879 (2021) - [i7]David Issa Mattos, Lucas Ruud, Jan Bosch, Helena Holmström Olsson:
On the Assessment of Benchmark Suites for Algorithm Comparison. CoRR abs/2104.07381 (2021) - [i6]Yuchu Liu, David Issa Mattos, Jan Bosch, Helena Holmström Olsson, Jonn Lantz:
Size matters? Or not: A/B testing with limited sample in automotive embedded software. CoRR abs/2107.02461 (2021) - [i5]Yuchu Liu, Jan Bosch, Helena Holmström Olsson, Jonn Lantz:
An architecture for enabling A/B experiments in automotive embedded software. CoRR abs/2107.02471 (2021) - [i4]Yuchu Liu, David Issa Mattos, Jan Bosch, Helena Holmström Olsson, Jonn Lantz:
Bayesian propensity score matching in automotive embedded software engineering. CoRR abs/2109.12563 (2021) - [i3]Hongyi Zhang, Jingya Li, Zhiqiang Tyler Qi, Xingqin Lin, Anders Aronsson, Jan Bosch, Helena Holmström Olsson:
Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning. CoRR abs/2112.07313 (2021) - 2020
- [j21]Lucy Ellen Lwakatare, Aiswarya Raj, Ivica Crnkovic
, Jan Bosch, Helena Holmström Olsson:
Large-scale machine learning systems in real-world industrial settings: A review of challenges and solutions. Inf. Softw. Technol. 127: 106368 (2020) - [j20]Helena Holmström Olsson
, Jan Bosch:
Going digital: Disruption and transformation in software-intensive embedded systems ecosystems. J. Softw. Evol. Process. 32(6) (2020) - [j19]Aleksander Fabijan
, Pavel A. Dmitriev, Helena Holmström Olsson, Jan Bosch:
The Online Controlled Experiment Lifecycle. IEEE Softw. 37(2): 60-67 (2020) - [c91]Aiswarya Raj Munappy, Jan Bosch, Helena Holmström Olsson, Tian J. Wang:
Towards Automated Detection of Data Pipeline Faults. APSEC 2020: 346-355 - [c90]Hongyi Zhang, Jan Bosch, Helena Holmström Olsson:
Federated Learning Systems: Architecture Alternatives. APSEC 2020: 385-394 - [c89]Meenu Mary John, Helena Holmström Olsson, Jan Bosch:
AI Deployment Architecture: Multi-Case Study for Key Factor Identification. APSEC 2020: 395-404 - [c88]Iris Figalist, Marco Dieffenbacher, Isabella Eigner, Jan Bosch, Helena Holmström Olsson, Christoph Elsner:
Mining Customer Satisfaction on B2B Online Platforms using Service Quality and Web Usage Metrics. APSEC 2020: 435-444 - [c87]Iris Figalist, Christoph Elsner, Jan Bosch, Helena Holmström Olsson:
Breaking the Vicious Circle: Why AI for software analytics and business intelligence does not take off in practice. SEAA 2020: 5-12 - [c86]Aiswarya Raj, Jan Bosch, Helena Holmström Olsson, Tian J. Wang:
Modelling Data Pipelines. SEAA 2020: 13-20 - [c85]Meenu Mary John, Helena Holmström Olsson, Jan Bosch:
AI on the Edge: Architectural Alternatives. SEAA 2020: 21-28 - [c84]David Issa Mattos, Jan Bosch, Helena Holmström Olsson, Aita Maryam Korshani, Jonn Lantz:
Automotive A/B testing: Challenges and Lessons Learned from Practice. SEAA 2020: 101-109 - [c83]Helena Holmström Olsson, Jan Bosch:
The Five Purposes of Value Modeling. SEAA 2020: 110-119 - [c82]Meenu Mary John, Helena Holmström Olsson, Jan Bosch:
Architecting AI Deployment: A Systematic Review of State-of-the-Art and State-of-Practice Literature. ICSOB 2020: 14-29 - [c81]Rolf Green, Jan Bosch, Helena Holmström Olsson:
Autonomously Improving Systems in Industry: A Systematic Literature Review. ICSOB 2020: 30-45 - [c80]Hongyi Zhang
, Jan Bosch
, Helena Holmström Olsson
:
Engineering Federated Learning Systems: A Literature Review. ICSOB 2020: 210-218 - [c79]Teodor Fredriksson, Jan Bosch, Helena Holmström Olsson:
Machine Learning Models for Automatic Labeling: A Systematic Literature Review. ICSOFT 2020: 552-561 - [c78]Meenu Mary John, Helena Holmström Olsson, Jan Bosch:
Developing ML/DL Models: A Design Framework. ICSSP 2020: 1-10 - [c77]David Issa Mattos, Anas Dakkak, Jan Bosch, Helena Holmström Olsson:
Experimentation for Business-to-Business Mission-Critical Systems: A Case Study. ICSSP 2020: 95-104 - [c76]Aiswarya Raj Munappy, David Issa Mattos, Jan Bosch, Helena Holmström Olsson, Anas Dakkak:
From Ad-Hoc Data Analytics to DataOps. ICSSP 2020: 165-174 - [c75]Aiswarya Raj Munappy, Jan Bosch, Helena Holmström Olsson:
Data Pipeline Management in Practice: Challenges and Opportunities. PROFES 2020: 168-184 - [c74]Teodor Fredriksson
, David Issa Mattos
, Jan Bosch
, Helena Holmström Olsson
:
Data Labeling: An Empirical Investigation into Industrial Challenges and Mitigation Strategies. PROFES 2020: 202-216 - [c73]Iris Figalist, Christoph Elsner, Jan Bosch, Helena Holmström Olsson:
An End-to-End Framework for Productive Use of Machine Learning in Software Analytics and Business Intelligence Solutions. PROFES 2020: 217-233 - [i2]Jan Bosch, Ivica Crnkovic, Helena Holmström Olsson:
Engineering AI Systems: A Research Agenda. CoRR abs/2001.07522 (2020)
2010 – 2019
- 2019
- [j18]David Issa Mattos
, Jan Bosch, Helena Holmström Olsson:
Multi-armed bandits in the wild: Pitfalls and strategies in online experiments. Inf. Softw. Technol. 113: 68-81 (2019) - [j17]Michael Felderer, Helena Holmström Olsson, Rick Rabiser
:
Introduction to the special issue on quality engineering and management of software-intensive systems. J. Syst. Softw. 149: 533-534 (2019) - [j16]Ilias Gerostathopoulos, Marco Konersmann, Stephan Krusche, David Issa Mattos, Jan Bosch, Tomás Bures, Brian Fitzgerald, Michael Goedicke, Henry Muccini, Helena Holmström Olsson, Thomas Brand, Robert Chatley, Nikolaos Diamantopoulos, Arik Friedman, Miguel Jiménez, Jan Ole Johanssen, Putra Manggala, Masumi Koseki, Jorge Melegati, Nuthan Munaiah, Gabriel Tamura, Vasileios Theodorou
, Jeffrey Wong, Iris Figalist:
Continuous Data-driven Software Engineering - Towards a Research Agenda: Report on the Joint 5th International Workshop on Rapid Continuous Software Engineering (RCoSE 2019) and 1st International Works. ACM SIGSOFT Softw. Eng. Notes 44(3): 60-64 (2019) - [c72]David Issa Mattos
, Jan Bosch
, Helena Holmström Olsson
:
ACE: Easy Deployment of Field Optimization Experiments. ECSA 2019: 264-279 - [c71]Iris Figalist, Christoph Elsner, Jan Bosch, Helena Holmström Olsson:
Business as Unusual: A Model for Continuous Real-Time Business Insights Based on Low Level Metrics. SEAA 2019: 66-73 - [c70]Aiswarya Munappy, Jan Bosch, Helena Holmström Olsson, Anders Arpteg, Björn Brinne:
Data Management Challenges for Deep Learning. SEAA 2019: 140-147 - [c69]Aleksander Fabijan
, Pavel A. Dmitriev, Helena Holmström Olsson, Jan Bosch, Lukas Vermeer, Dylan Lewis:
Three key checklists and remedies for trustworthy analysis of online controlled experiments at scale. ICSE (SEIP) 2019: 1-10 - [c68]Hamza Ouhaichi, Helena Holmström Olsson, Jan Bosch:
Dynamic Data Management for Machine Learning in Embedded Systems: A Case Study. ICSOB 2019: 145-154 - [c67]David Issa Mattos
, Jan Bosch
, Helena Holmström Olsson
:
Leveraging Business Transformation with Machine Learning Experiments. ICSOB 2019: 183-191 - [c66]Iris Figalist, Christoph Elsner, Jan Bosch, Helena Holmström Olsson:
Customer Churn Prediction in B2B Contexts. ICSOB 2019: 378-386 - [c65]Helena Holmström Olsson, Jan Bosch:
Data Driven Development: Challenges in Online, Embedded and On-Premise Software. PROFES 2019: 515-527 - [c64]David Issa Mattos, Jan Bosch, Helena Holmström Olsson, Anas Dakkak, Krister Bergh:
Automated Optimization of Software Parameters in a Long Term Evolution Radio Base Station. SysCon 2019: 1-8 - [c63]Iris Figalist, Christoph Elsner, Jan Bosch, Helena Holmström Olsson:
Scaling Agile Beyond Organizational Boundaries: Coordination Challenges in Software Ecosystems. XP 2019: 189-206 - [c62]Lucy Ellen Lwakatare, Aiswarya Raj, Jan Bosch, Helena Holmström Olsson, Ivica Crnkovic
:
A Taxonomy of Software Engineering Challenges for Machine Learning Systems: An Empirical Investigation. XP 2019: 227-243 - 2018
- [j15]Helena Holmström Olsson, Jan Bosch:
Make Up Your Mind. CLEI Electron. J. 21(1) (2018) - [j14]Jan Bosch
, Helena Holmström Olsson
:
Ecosystem traps and where to find them. J. Softw. Evol. Process. 30(11) (2018) - [j13]Aleksander Fabijan
, Pavel A. Dmitriev, Colin McFarland, Lukas Vermeer, Helena Holmström Olsson
, Jan Bosch
:
Experimentation growth: Evolving trustworthy A/B testing capabilities in online software companies. J. Softw. Evol. Process. 30(12) (2018) - [c61]Helena Holmström Olsson, Jan Bosch:
Singing the Praise of Empowerment: Or Paying the Cost of Chaos. SEAA 2018: 17-21 - [c60]Aleksander Fabijan
, Pavel A. Dmitriev, Helena Holmström Olsson, Jan Bosch:
Effective Online Controlled Experiment Analysis at Large Scale. SEAA 2018: 64-67 - [c59]Aleksander Fabijan
, Pavel A. Dmitriev, Helena Holmström Olsson, Jan Bosch:
Online Controlled Experimentation at Scale: An Empirical Survey on the Current State of A/B Testing. SEAA 2018: 68-72 - [c58]David Issa Mattos
, Pavel A. Dmitriev, Aleksander Fabijan, Jan Bosch
, Helena Holmström Olsson
:
An Activity and Metric Model for Online Controlled Experiments. PROFES 2018: 182-198 - [c57]Jan Bosch, Helena Holmström Olsson, Ivica Crnkovic:
It takes three to tango: Requirement, outcome/data, and AI driven development. SiBW 2018: 177-192 - [c56]David Issa Mattos
, Erling Mårtensson, Jan Bosch
, Helena Holmström Olsson
:
Optimization Experiments in the Continuous Space - The Limited Growth Optimistic Optimization Algorithm. SSBSE 2018: 293-308 - [c55]Torgeir Dingsøyr
, Nils Brede Moe, Helena Holmström Olsson:
Towards an understanding of scaling frameworks and business agility: a summary of the 6th international workshop at XP2018. XP Companion 2018: 6:1-6:4 - [c54]David Issa Mattos
, Jan Bosch
, Helena Holmström Olsson
:
Challenges and Strategies for Undertaking Continuous Experimentation to Embedded Systems: Industry and Research Perspectives. XP 2018: 277-292 - [e2]Jan Bosch, Brian Fitzgerald, Michael Goedicke, Helena Holmström Olsson, Marco Konersmann, Stephan Krusche:
Proceedings of the 4th International Workshop on Rapid Continuous Software Engineering, RCoSE@ICSE 2018, Gothenburg, Sweden, May 29, 2018. ACM 2018, ISBN 978-1-4503-5745-6 [contents] - [i1]Torgeir Dingsøyr, Nils Brede Moe, Helena Holmström Olsson:
Towards an Understanding of Scaling Frameworks and Business Agility: A Summary of the 6th International Workshop at XP2018. CoRR abs/1812.10280 (2018) - 2017
- [j12]Helena Holmström Olsson, Jan Bosch:
From ad hoc to strategic ecosystem management: the "Three-Layer Ecosystem Strategy Model" (TeLESM). J. Softw. Evol. Process. 29(7) (2017) - [j11]Jan Bosch, Helena Holmström Olsson:
Toward Evidence-Based Organizations: Lessons from Embedded Systems, Online Games, and the Internet of Things. IEEE Softw. 34(5): 60-66 (2017) - [c53]Helena Holmström Olsson, Jan Bosch:
So Much Data; So Little Value: A Multi-case Study on Improving the Impact of Data-driven Development Practices. CIbSE 2017: 249-262 - [c52]Aleksander Fabijan
, Pavel A. Dmitriev, Helena Holmström Olsson, Jan Bosch:
The Benefits of Controlled Experimentation at Scale. SEAA 2017: 18-26 - [c51]David Issa Mattos, Jan Bosch, Helena Holmström Olsson:
Your System Gets Better Every Day You Use It: Towards Automated Continuous Experimentation. SEAA 2017: 256-265 - [c50]Michael Goedicke, Jan Bosch, Helena Holmström Olsson, Eduardo Santana de Almeida:
3rd International Workshop on Rapid Continuous Software Engineering (RCoSe 2017). RCoSE@ICSE 2017: 1 - [c49]Aleksander Fabijan
, Pavel A. Dmitriev, Helena Holmström Olsson, Jan Bosch:
The evolution of continuous experimentation in software product development: from data to a data-driven organization at scale. ICSE 2017: 770-780 - [c48]Helena Holmström Olsson, Jan Bosch, Aleksander Fabijan:
Experimentation that Matters: A Multi-case Study on the Challenges with A/B Testing. ICSOB 2017: 179-185 - [c47]David Issa Mattos
, Jan Bosch
, Helena Holmström Olsson
:
More for Less: Automated Experimentation in Software-Intensive Systems. PROFES 2017: 146-161 - [c46]Aleksander Fabijan, Helena Holmström Olsson, Jan Bosch:
Differentiating Feature Realization in Software Product Development. PROFES 2017: 221-236 - [e1]