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Martin J. Shepperd
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- affiliation: Brunel University, London, UK
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2020 – today
- 2024
- [c60]Yuchen Guo
, Martin J. Shepperd
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
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
A systematic review of unsupervised learning techniques for software defect prediction. Inf. Softw. Technol. 122: 106287 (2020) - [c58]Andrea Capiluppi
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
Reasoning about Uncertainty in Empirical Results. EASE 2020: 140-149 - [e2]Martin J. Shepperd
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
A novel aggregation-based dominance for Pareto-based evolutionary algorithms to configure software product lines. Neurocomputing 364: 32-48 (2019) - [j61]Tim Menzies
"Bad smells" in software analytics papers. Inf. Softw. Technol. 112: 35-47 (2019) - [j60]Qinbao Song, Yuchen Guo
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
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
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
The role and value of replication in empirical software engineering results. Inf. Softw. Technol. 99: 120-132 (2018) - [j57]Martin J. Shepperd
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
Realistic assessment of software effort estimation models. EASE 2016: 41:1-41:6 - [c50]Davide Fucci, Giuseppe Scanniello
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
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
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
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
Roundtable: What's Next in Software Analytics. IEEE Softw. 30(4): 53-56 (2013) - [j51]Martin J. Shepperd
Data Quality: Some Comments on the NASA Software Defect Datasets. IEEE Trans. Software Eng. 39(9): 1208-1215 (2013) - [c46]Eisha Hasnain, Tracy Hall
Using experimental games to understand communication and trust in Agile software teams. CHASE@ICSE 2013: 117-120 - 2012
- [j50]Tim Menzies
Special issue on repeatable results in software engineering prediction. Empir. Softw. Eng. 17(1-2): 1-17 (2012) - [j49]Martin J. Shepperd
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
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
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
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
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
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
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
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
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
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
Using Grey Relational Analysis to Predict Software Effort with Small Data Sets. IEEE METRICS 2005: 35 - [c25]Rahul Premraj, Martin J. Shepperd
An Empirical Analysis of Software Productivity over Time. IEEE METRICS 2005: 37 - [c24]Martin J. Shepperd
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
Formulating software engineering as a search problem. IEE Proc. Softw. 150(3): 161-175 (2003) - [j30]Ignatios S. Deligiannis, Martin J. Shepperd
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
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
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
Predicting with Sparse Data. IEEE Trans. Software Eng. 27(11): 987-998 (2001) - [j22]Martin J. Shepperd
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
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
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
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
Estimating Software Project Effort Using Analogies. IEEE Trans. Software Eng. 23(11): 736-743 (1997) - [c6]Rachel Harrison, Martin J. Shepperd
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
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
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
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
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