Otwarty dostęp

Towards Program Comprehension: Knowledge Profiles for C Programmers


Zacytuj

[1] DÉTIENNE, F.: Software Design-Cognitive Aspect. Springer Science & Business Media, 2001, ISBN 978-1-4471-0111-6 Search in Google Scholar

[2] CORNELISSEN, B. et al.: A systematic survey of program comprehension through dynamic analysis, IEEE Transactions on Software Engineering 35, No. 5 (2009) 684–702, doi: 10.1109/TSE.2009.2810.1109/TSE.2009.28 Search in Google Scholar

[3] MAALEJ, W. et al.: On the Comprehension of Program Comprehension, ACM Transactions on Software Engineering and Methodology 23, No. 4 (2014) 31:1–31:37, doi: 10.1145/262266910.1145/2622669 Search in Google Scholar

[4] AHSAN, Z. – OBAIDELLAH, U.: Predicting expertise among novice programmers with prior knowledge on programming tasks. IEEE Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2020, pp. 1008–1016 Search in Google Scholar

[5] SULÍR, M. et al.: Large-Scale Dataset of Local Java Software Build Results, Data 5, No. 3 (2020) 1–11, doi: 10.3390/data503008610.3390/data5030086 Search in Google Scholar

[6] PIETRIKOVÁ, E. – CHODAREV, S.: Towards Programmer Knowledge Profile Generation, Acta Electrotechnica et Informatica 16, No. 1 (2016) 15–19, doi: 10.15546/aeei-2016-000310.15546/aeei-2016-0003 Search in Google Scholar

[7] PIETRIKOVÁ, E. – CHODAREV, S.: Profile-driven Source Code Exploration, Annals of Computer Science and Information Systems 15, No. 1 (2015) 929–934, doi: 10.15439/2015F23810.15439/2015F238 Search in Google Scholar

[8] VEHEC, I. – PIETRIKOVÁ, E.: Metrics for Student Source Code Analysis. IEEE 18th International Conference on Emerging eLearning Technologies and Applications, 2020, pp. 739–744, doi: 10.1109/ICETA51985.2020.937926410.1109/ICETA51985.2020.9379264 Search in Google Scholar

[9] ARAGAO, L. – PEREIRA, M. – HENRIQUES, P.: Scaling up a Programmers’ Profile Tool. Symposium on Languages, Applications and Technologies (SLATE), 2019, pp. 11:1–11:8, Schloss-Dagstuhl, doi: 10.4230/OASIcs.SLATE.2019.11 Search in Google Scholar

[10] OLIVEIRA, M. et al.: Software quality metrics and their impact on embedded software. IEEE 5th International Workshop on Model-based Methodologies for Pervasive and Embedded Software, 2008, pp. 68–77, doi: 10.1109/MOMPES.2008.1110.1109/MOMPES.2008.11 Search in Google Scholar

[11] NEJMEH, B.A.: NPATH: A Measure of Execution Path Complexity and Its Applications, Communications of the ACM 31, No. 2 (1988) 188–200, doi: 10.1145/42372.4237910.1145/42372.42379 Search in Google Scholar

[12] CAMPBELL, G.A.: Cognitive complexity: A new way of measuring understandability. SonarSource, Version 1.5, 2021 Search in Google Scholar

[13] LI, W. – HENRY, S.: Object-oriented Metrics That Predict Maintainability, Journal of Systems and Software 23, No. 2 (1993) 111–122, doi: 10.1016/0164-1212(93)90077-B10.1016/0164-1212(93)90077-B Search in Google Scholar

[14] LI, B. et al.: Semantic Code Clone Detection Via Event Embedding Tree and GAT Network. IEEE 20th International Conference on Software Quality Reliability and Security (QRS), 2020, pp. 382–393, doi: 10.1109/QRS51102.2020.0005710.1109/QRS51102.2020.00057 Search in Google Scholar

[15] NASIRLOO, H. – AZIMZADEH, F.: Semantic code clone detection using abstract memory states and program dependency graphs. IEEE 4th International Conference on Web Research (ICWR), 2018, pp. 19–27, doi: 10.1109/ICWR.2018.838723210.1109/ICWR.2018.8387232 Search in Google Scholar

[16] CHODAREV, S. et al.: Haskell clone detection using pattern comparing algorithm. IEEE 13th Engineering of Modern Electric Systems, 2015, pp. 145–148, doi: 10.1109/EMES.2015.715842310.1109/EMES.2015.7158423 Search in Google Scholar

[17] ŠŤASTNÁ, J. et al.: Security Measures in Automated Assessment System for Programming Courses, Acta Informatica Pragensia 4, No. 3 (2015) 226–241, doi: 10.18267/j.aip.7110.18267/j.aip.71 Search in Google Scholar

[18] ALANAZI, R. et al.: Facilitating program comprehension with call graph multilevel hierarchical abstractions, Journal of Systems and Software 176, No. 1 (2021) 110945:1–110945:15, doi: 10.1016/j.jss.2021.11094510.1016/j.jss.2021.110945 Search in Google Scholar

[19] VALDECANTOS, H.A.: An Empirical Study on Code Comprehension: Data Context Interaction Compared to Classical Object Oriented. IEEE/ACM 25th International Conference on Program Comprehension (ICPC), 2017, pp. 275–285, doi: 10.1109/ICPC.2017.2310.1109/ICPC.2017.23 Search in Google Scholar

eISSN:
1338-3957
Język:
Angielski
Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Computer Sciences, Information Technology, Databases and Data Mining, Engineering, Electrical Engineering