Testing machine learning based systems: a systematic mapping

[1] Altman NS(1992)An introduction to kernel and nearest-neighbor nonparametric regression Amer Stat 46 175-185

[2] Borg M(2019)Safely entering the deep: a review of verification and validation for machine learning and a challenge elicitation in the automotive industry J Autom Softw Eng 1 1-19

[3] Englund C(1998)A unified framework for cohesion measurement in object-oriented systems Empir Softw Eng 3 65-117

[4] Wnuk K(1999)A unified framework for coupling measurement in object-oriented systems IEEE Trans Softw Eng 25 91-121

[5] Duran B(2016)On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study Data Min Knowl Discov 30 891-927

[6] Levandowski C(2018)A comprehensive self-driving car test Commun ACM 61 7-7

[7] Gao S(2016)Combination and mutation strategies to support test data generation in the context of autonomous vehicles IJES 8 464-482

[8] Tan Y(2005)Supporting controlled experimentation with testing techniques: an infrastructure and its potential impact EMSE 10 405-435

[9] Kaijser H(2014)You are the only possible oracle: Effective test selection for end users of interactive machine learning systems IEEE Trans Softw Eng 40 307-323

[10] Lönn H(2007)Cross versus within-company cost estimation studies: a systematic review IEEE Trans Softw Eng 33 316-329

[1] Altman NS(1992)An introduction to kernel and nearest-neighbor nonparametric regression Amer Stat 46 175-185

[2] Borg M(2019)Safely entering the deep: a review of verification and validation for machine learning and a challenge elicitation in the automotive industry J Autom Softw Eng 1 1-19

[3] Englund C(1998)A unified framework for cohesion measurement in object-oriented systems Empir Softw Eng 3 65-117

[4] Wnuk K(1999)A unified framework for coupling measurement in object-oriented systems IEEE Trans Softw Eng 25 91-121

[5] Duran B(2016)On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study Data Min Knowl Discov 30 891-927

[6] Levandowski C(2018)A comprehensive self-driving car test Commun ACM 61 7-7

[7] Gao S(2016)Combination and mutation strategies to support test data generation in the context of autonomous vehicles IJES 8 464-482

[8] Tan Y(2005)Supporting controlled experimentation with testing techniques: an infrastructure and its potential impact EMSE 10 405-435

[9] Kaijser H(2014)You are the only possible oracle: Effective test selection for end users of interactive machine learning systems IEEE Trans Softw Eng 40 307-323

[10] Lönn H(2007)Cross versus within-company cost estimation studies: a systematic review IEEE Trans Softw Eng 33 316-329