default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMartin J. Shepperd
Person information
- affiliation: Brunel University, London, UK
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c60]Yuchen Guo
, Martin J. Shepperd, Ning Li:
Improving classifier-based effort-aware software defect prediction by reducing ranking errors. EASE 2024: 160-169- [i13]Yuchen Guo, Martin J. Shepperd, Ning Li:
Improving classifier-based effort-aware software defect prediction by reducing ranking errors. CoRR abs/2405.07604 (2024) - 2022
- [j65]Martin J. Shepperd, Fernando Brito e Abreu, Ricardo Pérez-Castillo:
Special issue on information systems quality management in practice. Softw. Qual. J. 30(2): 281-282 (2022) - [c59]Lucas Gren, Martin J. Shepperd:
Problem reports and team maturity in agile automotive software development. CHASE@ICSE 2022: 41-45 - [i12]Lucas Gren, Martin J. Shepperd:
Problem reports and team maturity in agile automotive software development. CoRR abs/2204.01285 (2022) - [i11]Martin J. Shepperd, Leila Yousefi:
An analysis of retracted papers in Computer Science. CoRR abs/2206.06706 (2022) - [i10]Robert D. Macredie, Martin J. Shepperd, Tommaso Turchi, Terry Young:
Exploring Student Engagement and Outcomes: Experiences from Three Cycles of an Undergraduate Module. CoRR abs/2212.11682 (2022) - 2021
- [j64]Jingxiu Yao, Martin J. Shepperd:
The impact of using biased performance metrics on software defect prediction research. Inf. Softw. Technol. 139: 106664 (2021) - [i9]Martin J. Shepperd, Stephen G. MacDonell:
Evaluating prediction systems in software project estimation. CoRR abs/2101.05426 (2021) - [i8]Jingxiu Yao, Martin J. Shepperd:
The impact of using biased performance metrics on software defect prediction research. CoRR abs/2103.10201 (2021) - 2020
- [j63]Ning Li, Martin J. Shepperd, Yuchen Guo:
A systematic review of unsupervised learning techniques for software defect prediction. Inf. Softw. Technol. 122: 106287 (2020) - [c58]Andrea Capiluppi, Nemitari Ajienka, Nour Ali, Mahir Arzoky, Steve Counsell, Giuseppe Destefanis, Alina Dana Miron, Bhaveet Nagaria, Rumyana Neykova, Martin J. Shepperd, Stephen Swift, Allan Tucker:
Using the Lexicon from Source Code to Determine Application Domain. EASE 2020: 110-119 - [c57]Jingxiu Yao, Martin J. Shepperd:
Assessing software defection prediction performance: why using the Matthews correlation coefficient matters. EASE 2020: 120-129 - [c56]Neil Walkinshaw, Martin J. Shepperd:
Reasoning about Uncertainty in Empirical Results. EASE 2020: 140-149 - [e2]Martin J. Shepperd, Fernando Brito e Abreu, Alberto Rodrigues da Silva, Ricardo Pérez-Castillo:
Quality of Information and Communications Technology - 13th International Conference, QUATIC 2020, Faro, Portugal, September 9-11, 2020, Proceedings. Communications in Computer and Information Science 1266, Springer 2020, ISBN 978-3-030-58792-5 [contents] - [i7]Jingxiu Yao, Martin J. Shepperd:
Assessing Software Defection Prediction Performance: Why Using the Matthews Correlation Coefficient Matters. CoRR abs/2003.01182 (2020)
2010 – 2019
- 2019
- [j62]Yani Xue, Miqing Li, Martin J. Shepperd, Stasha Lauria, Xiaohui Liu:
A novel aggregation-based dominance for Pareto-based evolutionary algorithms to configure software product lines. Neurocomputing 364: 32-48 (2019) - [j61]Tim Menzies, Martin J. Shepperd:
"Bad smells" in software analytics papers. Inf. Softw. Technol. 112: 35-47 (2019) - [j60]Qinbao Song, Yuchen Guo, Martin J. Shepperd:
A Comprehensive Investigation of the Role of Imbalanced Learning for Software Defect Prediction. IEEE Trans. Software Eng. 45(12): 1253-1269 (2019) - [c55]Martin J. Shepperd, Yuchen Guo, Ning Li, Mahir Arzoky, Andrea Capiluppi, Steve Counsell, Giuseppe Destefanis, Stephen Swift, Allan Tucker, Leila Yousefi:
The Prevalence of Errors in Machine Learning Experiments. IDEAL (1) 2019: 102-109 - [i6]Ning Li, Martin J. Shepperd, Yuchen Guo:
A Systematic Review of Unsupervised Learning Techniques for Software Defect Prediction. CoRR abs/1907.12027 (2019) - [i5]Martin J. Shepperd, Yuchen Guo, Ning Li, Mahir Arzoky, Andrea Capiluppi, Steve Counsell, Giuseppe Destefanis, Stephen Swift, Allan Tucker, Leila Yousefi:
The Prevalence of Errors in Machine Learning Experiments. CoRR abs/1909.04436 (2019) - 2018
- [j59]Robert Feldt, Thomas Zimmermann, Gunnar R. Bergersen, Davide Falessi, Andreas Jedlitschka, Natalia Juristo, Jürgen Münch, Markku Oivo, Per Runeson, Martin J. Shepperd, Dag I. K. Sjøberg, Burak Turhan:
Four commentaries on the use of students and professionals in empirical software engineering experiments. Empir. Softw. Eng. 23(6): 3801-3820 (2018) - [j58]Martin J. Shepperd, Nemitari Ajienka, Steve Counsell:
The role and value of replication in empirical software engineering results. Inf. Softw. Technol. 99: 120-132 (2018) - [j57]Martin J. Shepperd, Tracy Hall, David Bowes:
Authors' Reply to "Comments on 'Researcher Bias: The Use of Machine Learning in Software Defect Prediction'". IEEE Trans. Software Eng. 44(11): 1129-1131 (2018) - [c54]Martin J. Shepperd:
Replication studies considered harmful. ICSE (NIER) 2018: 73-76 - [c53]Yuchen Guo, Martin J. Shepperd, Ning Li:
Bridging effort-aware prediction and strong classification: a just-in-time software defect prediction study. ICSE (Companion Volume) 2018: 325-326 - [c52]Martin J. Shepperd, Carolyn Mair, Magne Jørgensen:
An experimental evaluation of a de-biasing intervention for professional software developers. SAC 2018: 1510-1517 - [i4]Martin J. Shepperd:
Replication studies considered harmful. CoRR abs/1802.04580 (2018) - [i3]Rahul Krishna, Suvodeep Majumder, Tim Menzies, Martin J. Shepperd:
Bad Smells in Software Analytics Papers. CoRR abs/1803.05518 (2018) - [i2]Martin J. Shepperd, Carolyn Mair, Magne Jørgensen:
An Experimental Evaluation of a De-biasing Intervention for Professional Software Developers. CoRR abs/1804.03919 (2018) - [i1]Martin J. Shepperd:
Inferencing into the void: problems with implicit populations Comments on 'Empirical software engineering experts on the use of students and professionals in experiments'. CoRR abs/1810.07392 (2018) - 2016
- [c51]Boyce Sigweni, Martin J. Shepperd, Tommaso Turchi:
Realistic assessment of software effort estimation models. EASE 2016: 41:1-41:6 - [c50]Davide Fucci, Giuseppe Scanniello, Simone Romano, Martin J. Shepperd, Boyce Sigweni, Fernando Uyaguari Uyaguari, Burak Turhan, Natalia Juristo, Markku Oivo:
An External Replication on the Effects of Test-driven Development Using a Multi-site Blind Analysis Approach. ESEM 2016: 3:1-3:10 - [c49]Gernot Armin Liebchen, Martin J. Shepperd:
Data Sets and Data Quality in Software Engineering: Eight Years On. PROMISE 2016: 7:1-7:4 - [p2]Martin J. Shepperd:
Replicated results are more trustworthy. Perspectives on Data Science for Software Engineering 2016: 289-293 - 2015
- [j56]Martin J. Shepperd:
How Do I Know Whether to Trust a Research Result? IEEE Softw. 32(1): 106-109 (2015) - [j55]Michael James Scott, Steve Counsell, Stanislao Lauria, Stephen Swift, Allan Tucker, Martin J. Shepperd, Gheorghita Ghinea:
Enhancing Practice and Achievement in Introductory Programming With a Robot Olympics. IEEE Trans. Educ. 58(4): 249-254 (2015) - [c48]Boyce Sigweni, Martin J. Shepperd:
Using blind analysis for software engineering experiments. EASE 2015: 32:1-32:6 - 2014
- [j54]Martin J. Shepperd, David Bowes, Tracy Hall:
Researcher Bias: The Use of Machine Learning in Software Defect Prediction. IEEE Trans. Software Eng. 40(6): 603-616 (2014) - [c47]Boyce Sigweni, Martin J. Shepperd:
Feature weighting techniques for CBR in software effort estimation studies: a review and empirical evaluation. PROMISE 2014: 32-41 - [p1]Martin J. Shepperd:
Cost Prediction and Software Project Management. Software Project Management in a Changing World 2014: 51-71 - [e1]Martin J. Shepperd, Tracy Hall, Ingunn Myrtveit:
18th International Conference on Evaluation and Assessment in Software Engineering, EASE '14, London, England, United Kingdom, May 13-14, 2014. ACM 2014, ISBN 978-1-4503-2476-2 [contents] - 2013
- [j53]Martin J. Shepperd, Forrest Shull:
Guest Editorial for Special Section from Empirical Software Engineering & Measurement (ESEM) 2011. Inf. Softw. Technol. 55(7): 1277-1278 (2013) - [j52]Ahmed E. Hassan, Abram Hindle, Per Runeson, Martin J. Shepperd, Premkumar T. Devanbu, Sunghun Kim:
Roundtable: What's Next in Software Analytics. IEEE Softw. 30(4): 53-56 (2013) - [j51]Martin J. Shepperd, Qinbao Song, Zhongbin Sun, Carolyn Mair:
Data Quality: Some Comments on the NASA Software Defect Datasets. IEEE Trans. Software Eng. 39(9): 1208-1215 (2013) - [c46]Eisha Hasnain, Tracy Hall, Martin J. Shepperd:
Using experimental games to understand communication and trust in Agile software teams. CHASE@ICSE 2013: 117-120 - 2012
- [j50]Tim Menzies, Martin J. Shepperd:
Special issue on repeatable results in software engineering prediction. Empir. Softw. Eng. 17(1-2): 1-17 (2012) - [j49]Martin J. Shepperd, Stephen G. MacDonell:
Evaluating prediction systems in software project estimation. Inf. Softw. Technol. 54(8): 820-827 (2012) - [c45]Carolyn Mair, Miriam Martincova, Martin J. Shepperd:
An Empirical Study of Software Project Managers Using a Case-Based Reasoner. HICSS 2012: 1030-1039 - [c44]Martin J. Shepperd:
The scientific basis for prediction research. PROMISE 2012: 1-2 - 2011
- [j48]Qinbao Song, Martin J. Shepperd:
Predicting software project effort: A grey relational analysis based method. Expert Syst. Appl. 38(6): 7302-7316 (2011) - [j47]Qinbao Song, Zihan Jia, Martin J. Shepperd, Shi Ying, Jin Liu:
A General Software Defect-Proneness Prediction Framework. IEEE Trans. Software Eng. 37(3): 356-370 (2011) - [c43]Martin J. Shepperd:
Group project work from the outset: An in-depth teaching experience report. CSEE&T 2011: 361-370 - [c42]Martin J. Shepperd:
Data quality: cinderella at the software metrics ball? WETSoM 2011: 1-4 - [c41]Carolyn Mair, Martin J. Shepperd:
Human judgement and software metrics: vision for the future. WETSoM 2011: 81-84 - [c40]Martin J. Shepperd:
Combining Evidence and Meta-analysis in Software Engineering. ISSSE 2011: 46-70 - 2010
- [j46]Emal Nasseri, Steve Counsell, Martin J. Shepperd:
Class movement and re-location: An empirical study of Java inheritance evolution. J. Syst. Softw. 83(2): 303-315 (2010) - [j45]Stephen G. MacDonell, Martin J. Shepperd, Barbara A. Kitchenham, Emilia Mendes:
How Reliable Are Systematic Reviews in Empirical Software Engineering? IEEE Trans. Software Eng. 36(5): 676-687 (2010) - [c39]Stephen G. MacDonell, Martin J. Shepperd:
Data accumulation and software effort prediction. ESEM 2010
2000 – 2009
- 2009
- [j44]Ambikesh Jayal, Martin J. Shepperd:
The Problem of Labels in E-Assessment of Diagrams. ACM J. Educ. Resour. Comput. 8(4): 12:1-12:13 (2009) - [j43]Yong Wang, Qinbao Song, Stephen G. MacDonell, Martin J. Shepperd, Junyi Shen:
Integrate the GM(1, 1) and Verhulst Models to Predict Software Stage Effort. IEEE Trans. Syst. Man Cybern. Part C 39(6): 647-658 (2009) - [c38]Carolyn Mair, Miriam Martincova, Martin J. Shepperd:
A Literature Review of Expert Problem Solving using Analogy. EASE 2009 - 2008
- [j42]Qinbao Song, Martin J. Shepperd, Xiangru Chen, Jun Liu:
Can k-NN imputation improve the performance of C4.5 with small software project data sets? A comparative evaluation. J. Syst. Softw. 81(12): 2361-2370 (2008) - [c37]Emal Nasseri, Steve Counsell, Martin J. Shepperd:
An Empirical Study of Evolution of Inheritance in Java OSS. Australian Software Engineering Conference 2008: 269-278 - [c36]Gernot Armin Liebchen, Martin J. Shepperd:
Data sets and data quality in software engineering. PROMISE@ICSE 2008: 39-44 - 2007
- [j41]Qinbao Song, Martin J. Shepperd:
Missing Data Imputation Techniques. Int. J. Bus. Intell. Data Min. 2(3): 261-291 (2007) - [j40]Claes Wohlin, Sebastian G. Elbaum, Martin J. Shepperd:
Most cited journal articles in software engineering. Inf. Softw. Technol. 49(1): 1 (2007) - [j39]Qinbao Song, Martin J. Shepperd:
A new imputation method for small software project data sets. J. Syst. Softw. 80(1): 51-62 (2007) - [j38]Magne Jørgensen, Martin J. Shepperd:
A Systematic Review of Software Development Cost Estimation Studies. IEEE Trans. Software Eng. 33(1): 33-53 (2007) - [c35]Gernot Armin Liebchen, Bhekisipho Twala, Martin J. Shepperd, Michelle Cartwright, Mark Stephens:
Filtering, Robust Filtering, Polishing: Techniques for Addressing Quality in Software Data. ESEM 2007: 99-106 - [c34]Stephen G. MacDonell, Martin J. Shepperd:
Comparing Local and Global Software Effort Estimation Models - Reflections on a Systematic Review. ESEM 2007: 401-409 - [c33]Martin J. Shepperd:
Software project economics: a roadmap. FOSE 2007: 304-315 - 2006
- [j37]Qinbao Song, Martin J. Shepperd:
Mining web browsing patterns for E-commerce. Comput. Ind. 57(7): 622-630 (2006) - [j36]Qinbao Song, Martin J. Shepperd, Michelle Cartwright, Carolyn Mair:
Software Defect Association Mining and Defect Correction Effort Prediction. IEEE Trans. Software Eng. 32(2): 69-82 (2006) - [c32]Gernot Armin Liebchen, Martin J. Shepperd, Bheki Twala, Michelle Cartwright:
Assessing the Quality and Cleaning of a Software Project Data Set: An Experience Report. EASE 2006 - [c31]Bhekisipho Twala, Michelle Cartwright, Martin J. Shepperd:
Ensemble of missing data techniques to improve software prediction accuracy. ICSE 2006: 909-912 - [c30]Carolyn Mair, Martin J. Shepperd:
Looking at Comparisons of Regression and Analogy-based Software Project Cost Prediction. Software Engineering Research and Practice 2006: 113-118 - 2005
- [j35]Qinbao Song, Martin J. Shepperd, Michelle Cartwright:
A Short Note on Safest Default Missingness Mechanism Assumptions. Empir. Softw. Eng. 10(2): 235-243 (2005) - [j34]Carolyn Mair, Martin J. Shepperd, Magne Jørgensen:
An analysis of data sets used to train and validate cost prediction systems. ACM SIGSOFT Softw. Eng. Notes 30(4): 1-6 (2005) - [j33]Ingunn Myrtveit, Erik Stensrud, Martin J. Shepperd:
Reliability and Validity in Comparative Studies of Software Prediction Models. IEEE Trans. Software Eng. 31(5): 380-391 (2005) - [c29]Bhekisipho Twala, Michelle Cartwright, Martin J. Shepperd:
Comparison of various methods for handling incomplete data in software engineering databases. ISESE 2005: 105-114 - [c28]Carolyn Mair, Martin J. Shepperd:
The consistency of empirical comparisons of regression and analogy-based software project cost prediction. ISESE 2005: 509-518 - [c27]Martin J. Shepperd:
Evaluating Software Project Prediction Systems. IEEE METRICS 2005: 2 - [c26]Qinbao Song, Martin J. Shepperd, Carolyn Mair:
Using Grey Relational Analysis to Predict Software Effort with Small Data Sets. IEEE METRICS 2005: 35 - [c25]Rahul Premraj, Martin J. Shepperd, Barbara A. Kitchenham, Pekka Forselius:
An Empirical Analysis of Software Productivity over Time. IEEE METRICS 2005: 37 - [c24]Martin J. Shepperd, Michelle Cartwright:
A Replication of the Use of Regression towards the Mean (R2M) as an Adjustment to Effort Estimation Models. IEEE METRICS 2005: 38 - [c23]Gernot Armin Liebchen, Martin J. Shepperd:
Software Productivity Analysis of a Large Data Set and Issues of Confidentiality and Data Quality. IEEE METRICS 2005: 46 - [c22]Carolyn Mair, Martin J. Shepperd, Magne Jørgensen:
An analysis of data sets used to train and validate cost prediction systems. PROMISE@ICSE 2005: 5:1-5:6 - 2004
- [j32]Ignatios S. Deligiannis, Ioannis Stamelos, Lefteris Angelis, Manos Roumeliotis, Martin J. Shepperd:
A controlled experiment investigation of an object-oriented design heuristic for maintainability. J. Syst. Softw. 72(2): 129-143 (2004) - [c21]John K. Hart, Martin J. Shepperd:
The Evolution of Concurrent Control Software Using Genetic Programming. EuroGP 2004: 289-298 - 2003
- [j31]John A. Clark, José Javier Dolado, Mark Harman, Robert M. Hierons, Bryan F. Jones, M. Lumkin, Brian S. Mitchell, Spiros Mancoridis, K. Rees, Marc Roper, Martin J. Shepperd:
Formulating software engineering as a search problem. IEE Proc. Softw. 150(3): 161-175 (2003) - [j30]Ignatios S. Deligiannis, Martin J. Shepperd, Manos Roumeliotis, Ioannis Stamelos:
An empirical investigation of an object-oriented design heuristic for maintainability. J. Syst. Softw. 65(2): 127-139 (2003) - [j29]Stephen G. MacDonell, Martin J. Shepperd:
Combining techniques to optimize effort predictions in software project management. J. Syst. Softw. 66(2): 91-98 (2003) - [c20]Martin Lefley, Martin J. Shepperd:
Using Genetic Programming to Improve Software Effort Estimation Based on General Data Sets. GECCO 2003: 2477-2487 - [c19]Colin Kirsopp, Emilia Mendes, Rahul Premraj, Martin J. Shepperd:
An Empirical Analysis of Linear Adaptation Techniques for Case-Based Prediction. ICCBR 2003: 231-245 - [c18]Ursula Passing, Martin J. Shepperd:
An experiment on software project size and effort estimation. ISESE 2003: 120-131 - [c17]Stephen G. MacDonell, Martin J. Shepperd:
Using Prior-Phase Effort Records for Re-estimation During Software Projects. IEEE METRICS 2003: 73- - [c16]Michelle Cartwright, Martin J. Shepperd, Qinbao Song:
Dealing with Missing Software Project Data. IEEE METRICS 2003: 154-165 - 2002
- [j28]Ignatios S. Deligiannis, Martin J. Shepperd, Steve Webster, Manos Roumeliotis:
A Review of Experimental Investigations into Object-Oriented Technology. Empir. Softw. Eng. 7(3): 193-231 (2002) - [j27]Colin Kirsopp, Martin J. Shepperd:
Making inferences with small numbers of training sets. IEE Proc. Softw. 149(5): 123-130 (2002) - [j26]Michael Dyer, Martin J. Shepperd, Claes Wohlin:
Editorial. Inf. Softw. Technol. 44(2): 63 (2002) - [c15]John K. Hart, Martin J. Shepperd:
Evolving Software with Multiple Outputs and Multiple Populations. GECCO Late Breaking Papers 2002: 223-227 - [c14]Colin Kirsopp, Martin J. Shepperd, John K. Hart:
Search Heuristics, Case-based Reasoning And Software Project Effort Prediction. GECCO 2002: 1367-1374 - 2001
- [j25]Barbara A. Kitchenham, Lesley Pickard, Stephen G. MacDonell, Martin J. Shepperd:
What accuracy statistics really measure. IEE Proc. Softw. 148(3): 81-85 (2001) - [j24]Martin J. Shepperd, Michael Dyer:
Editorial Note. Inf. Softw. Technol. 43(14): 813 (2001) - [j23]Martin J. Shepperd, Michelle Cartwright:
Predicting with Sparse Data. IEEE Trans. Software Eng. 27(11): 987-998 (2001) - [j22]Martin J. Shepperd, Gada F. Kadoda:
Comparing Software Prediction Techniques Using Simulation. IEEE Trans. Software Eng. 27(11): 1014-1022 (2001) - [c13]Gada F. Kadoda, Michelle Cartwright, Martin J. Shepperd:
Issues on the Effective Use of CBR Technology for Software Project Prediction. ICCBR 2001: 276-290 - [c12]Martin J. Shepperd, Michelle Cartwright:
Predicting With Sparse Data. IEEE METRICS 2001: 28- - [c11]Martin J. Shepperd, Gada F. Kadoda:
Using Simulation to Evaluate Prediction Techniques. IEEE METRICS 2001: 349- - 2000
- [j21]Martin J. Shepperd, Michelle Cartwright, Gada F. Kadoda:
On Building Prediction Systems for Software Engineers. Empir. Softw. Eng. 5(3): 175-182 (2000) - [j20]Keith Phalp, Martin J. Shepperd:
Quantitative analysis of static models of processes. J. Syst. Softw. 52(2-3): 105-112 (2000) - [j19]Carolyn Mair, Gada F. Kadoda, Martin Lefley, Keith Phalp, Chris Schofield, Martin J. Shepperd, Steve Webster:
An investigation of machine learning based prediction systems. J. Syst. Softw. 53(1): 23-29 (2000) - [j18]Michelle Cartwright, Martin J. Shepperd:
An Empirical Investigation of an Object-Oriented Software System. IEEE Trans. Software Eng. 26(8): 786-796 (2000) - [c10]Shari Lawrence Pfleeger, Martin J. Shepperd, Roseanne Tesoriero:
Decisions and Delphi: The Dynamics of Group Estimation. SBES 2000: 3-15
1990 – 1999
- 1999
- [j17]Michael Dyer, Martin J. Shepperd:
Perspectives on Information Technology in the New Millennium. Inf. Softw. Technol. 41(14): 931 (1999) - [c9]Austen Rainer, Martin J. Shepperd:
Re-Planning for a Successful Project Schedule. IEEE METRICS 1999: 72-81 - [c8]Andrew R. Gray, Stephen G. MacDonell, Martin J. Shepperd:
Factors Systematically Associated with Errors in Subjective Estimates of Software Development Effort: The Stability of Expert Judgment. IEEE METRICS 1999: 216- - [c7]Colin Kirsopp, Martin J. Shepperd, Steve Webster:
An Empirical Study into the Use of Measurement to Support OO Design Evaluation. IEEE METRICS 1999: 230-241 - 1997
- [j16]Rachel Harrison, Lionel C. Briand, John W. Daly, Marc I. Kellner, David Raffo, Martin J. Shepperd:
Process Modelling and Empirical Studies of Software Evolution (PMESSE'97) Workshop Report. Empir. Softw. Eng. 2(4): 381-403 (1997) - [j15]Martin J. Shepperd, Chris Schofield:
Estimating Software Project Effort Using Analogies. IEEE Trans. Software Eng. 23(11): 736-743 (1997) - [c6]Rachel Harrison, Martin J. Shepperd, John W. Daly:
Workshop Summary: Process Modelling and Empirical Studies of Software Evolution. ICSE 1997: 675 - 1996
- [c5]Martin J. Shepperd, Chris Schofield, Barbara A. Kitchenham:
Effort Estimation Using Analogy. ICSE 1996: 170-178 - 1995
- [b2]Martin J. Shepperd:
Foundations of software measurement. Prentice Hall 1995, ISBN 978-0-13-336199-5, pp. I-XII, 1-234 - [j14]Michael Dyer, Martin J. Shepperd:
Editorial. Inf. Softw. Technol. 37(1): 3 (1995) - [j13]Neville I. Churcher, Martin J. Shepperd:
Towards a conceptual framework for object oriented software metrics. ACM SIGSOFT Softw. Eng. Notes 20(2): 69-75 (1995) - [j12]Neville I. Churcher, Martin J. Shepperd:
Comments on "A Metrics Suite for Object Oriented Design". IEEE Trans. Software Eng. 21(3): 263-265 (1995) - 1994
- [j11]Michael Dyer, Martin J. Shepperd:
Editorial. Inf. Softw. Technol. 36(1): 2 (1994) - [j10]Martin J. Shepperd, Darrel C. Ince:
A critique of three metrics. J. Syst. Softw. 26(3): 197-210 (1994) - [c4]Keith Phalp, Martin J. Shepperd:
A Pragmatic Approach to Process Modelling. EWSPT 1994: 65-68 - 1993
- [j9]Martin J. Shepperd:
Practical software metrics for project management and process improvement: R Grady Prentice-Hall (1992) £30.95 282 pp ISBN 0 13 720384 5. Inf. Softw. Technol. 35(11-12): 701 (1993) - 1992
- [j8]Martin J. Shepperd:
First International Conference on the Software Process Redondo Beach, CA, USA 21-22 October 1991. Inf. Softw. Technol. 34(4): 276-277 (1992) - [j7]Martin J. Shepperd:
Software engineer's reference book J McDermid (ed) Butterworth-Heinemann (1991) £125 hardback ISBN 0-750-61040-9. Inf. Softw. Technol. 34(6): 419 (1992) - [j6]Martin J. Shepperd:
Products, processes and metrics. Inf. Softw. Technol. 34(10): 674-680 (1992) - [j5]Martin J. Shepperd:
Measurement of structure and size of software designs. Inf. Softw. Technol. 34(11): 756-762 (1992) - 1991
- [b1]Martin J. Shepperd:
System architecture metrics : an evaluation. Open University, Milton Keynes, UK, 1991 - [j4]Martin J. Shepperd, Darrel C. Ince:
Software Metrics in Software Engineering and Artificial Intelligence. Int. J. Softw. Eng. Knowl. Eng. 1(4): 463-476 (1991) - [j3]Martin J. Shepperd, Darrel C. Ince:
Design metrics and software maintainability: An experimental investigation. J. Softw. Maintenance Res. Pract. 3(4): 215-232 (1991) - [c3]Martin J. Shepperd, Darrel C. Ince:
Algebraic Validation of software Metrics. ESEC 1991: 343-363 - [c2]Martin J. Shepperd:
Algebraic Models and Metric Validation. Formal Aspects of Measurement 1991: 157-175 - 1990
- [j2]Martin J. Shepperd:
Design metrics: an empirical analysis. Softw. Eng. J. 5(1): 3-10 (1990) - [c1]Martin J. Shepperd, Darrel C. Ince:
Multi-Dimensional Modelling and Measurement of Software Designs. ACM Conference on Computer Science 1990: 76-81
1980 – 1989
- 1988
- [j1]Martin J. Shepperd:
A critique of cyclomatic complexity as a software metric. Softw. Eng. J. 3(2): 30-36 (1988)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:13 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
