Abstract
The history of the computer science department at the Institute of Mathematics and Informatics of Bulgarian Academy of Sciences since 1963 is briefly described. Starting with small groups of enthusiastic people initiating the new for Bulgaria research in the field of Informatics, nowadays the department can report some significant achievements. The paper presents some of them in three areas—software quality evaluation and management, data mining and semantic analysis, information systems and communities—which mark some key areas of research during the years.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
ISO 9000 Quality Management Systems—Fundamentals and Vocabulary. International Organization for Standardization (2005)
Boehm, B.: Software and its impact: a quantitative assessment. Datamation 19(5), 49–59 (1973)
Bowen, T., Wigle, G., Tsai, J.: Specification of software quality attributes. In: Software Quality Evaluation Guidebook, RADC-TR-85–37, vol. III (1985)
General methodology for software quality evaluation. The intergovernmental committee for the cooperation of the socialist countries in the field of computing. Bulletin 1(37), Moscow (in Bulgarian) (1988)
ISO/IEC 9126: Information Technology—Software Product Evaluation—Quality Characteristics and Guidelines for Their Use (1991)
Angelova, V.: Evaluation of the quality of software by classification methods. PhD thesis—IMI-BAS, Sofia (in Bulgarian) (1987)
Eskenasi, A.: Evaluation of software quality by means of classification methods. J. Syst. Softw. 10(3), 213–216 (1989)
Dmitriev, A., Zhuravlev, J., Krendelev, P.: About mathematical principles of object and phenomena classification. Discreet Anal. 7, 3–11 (in Russian) (1986)
Humphrey, W.: Characterizing the software process: a maturity framework. IEEE Softw. 3, 73–79 (1988)
Paulk, M., et al.: Key practices of the capability maturity model for software, version 1.1. TR CMU/SEI-93-TR-025, SEI (USA). Carnegie Mellon University, Pittsburgh (1993)
CMMI Maturity Profile Report, 30 June 2018 https://cmmiinstitute.com/resource-files/public/quality/maturity-profiles/maturity-profile
Beck, K.: Embracing change with extreme programming. Computer 32(10), 70–77 (1999)
Eskenazi, A., Balkanski, P.: Quality improvement in XP development. In: Proceedings of the International Conference CompSysTech, pp. II.9.1–II.9.6 (2002)
Balkanski, P.: Quality assurance in extreme programming. Int. J. Inf. Theor. Appl. 10, 113–117 (2003)
A Guide to Scrum and CMMI: Improving Agile Performance with CMMI. CMMI Institute (2016)
Silva, F., et al.: Using CMMI together with agile software development: a systematic review. Inf. Softw. Technol. 58, 20–43 (2015)
Maneva, N.: Comparative analysis: a feasible software engineering method. Serdica J. Comput. 1(1), 1–12 (2007)
Maneva, N.: INSPIRE: a software engineering methodology. J. Inf. Technol. Control 1, 22–26 (2005)
Bantchev, B.: Issues of explicit expression in program texts. PhD thesis—IMI-BAS, Sofia, 127 p. (2014)
Bantchev, B.: Terminable statements and destructive computation. ACM SIGPLAN Not. 29(2), 33–38 (1994)
Bantchev, B.: Putting more meaning in expressions. ACM SIGPLAN Not. 33(9), 77–83 (1998)
Bantchev, B.: A language for compositional programming: a rationale and design. In: Proceedings of 40th Spring Conference of the Union of Bulgarian Mathematicians, pp. 236–243 (2011)
Bantchev, B.: Understanding computing through defining its lexicon. In: Proceedings of 39th Spring Conference of the Union of Bulgarian Mathematicians, pp. 171–177 (2010)
Mitov, I.: Class association rule mining using multi-dimensional numbered information spaces. PhD thesis—Hasselt, Belgium, 200 p. (2011)
Mitov, I., Ivanova, K., Markov, K., Velychko, V., Vanhoof. K., Stanchev, P.: PaGaNe—a classification machine learning system based on the multidimensional numbered information spaces. In: World Scientific Proceedings Series on Computer Engineering and Information Science, vol. 2, pp. 279–286 (2009)
Mitov, I., Depaire, B., Ivanova, K., Vanhoof, K.: Classifier PGN: classification with high confidence rules. Serdica J. Comput. 6(2), 143–164 (2013)
Mitov, I., Ivanova, K., Depaire, B., Vanhoof, K.: ArmSquare: an association rule miner based on multidimensional numbered information spaces. In: Proceedings of the 1st International Conference on Advances in Information Mining and Management (IMMM 2011), pp. 143–148, Barcelona, Spain (2011)
Ivanova, K., Stanchev, P., Vanhoof, K., Ein-Dor, P.: Semantic and abstraction content of Art images. In: Proceedings of the Fifth Mediterranean Conference on Information Systems, Tel Aviv, Israel, AIS e-Library, paper 42 (2010)
Burford, B., Briggs, P., Eakins, J.: A taxonomy of the image: on the classification of content for image retrieval. Vis. Commun. 2(2), 123–161 (2003)
Hurtut, T.: 2D Artistic Images Analysis, A Content-Based Survey. https://hal.archives-ouvertes.fr/hal-00459401_v1/ (2010)
Ivanova, K., Stanchev, P., Vanhoof, K.: Automatic tagging of art images with color harmonies and contrasts characteristics in art image collections. Int. J. Adv. Softw. 3(3 & 4), 474–484 (2010)
Ivanova, K., Stanchev, P., Velikova, E., Vanhoof, K., Depaire, B., Kannan, R., Mitov, I., Markov, K.: Features for art painting classification based on vector quantization of MPEG-7 descriptors. In: 2nd International Conference on Data Engineering and Management (ICDEM 2010), India, LNCS, vol. 6411, pp. 146–153 (2012)
Iliev, A.I.: Emotion Recognition from Speech, 168 p. Lambert Academic Publishing (2012)
Iliev, A.I.: Content discovery using perceptual automation. In: Proceedings of the 10th International Conference on Management of Digital Ecosystems (MEDES’18), pp. 233–238, Tokyo, Japan (2018)
Iliev, A.I., Stanchev, P.L.: Glottal attributes extracted from speech with application to emotion driven smart systems. In: Proceedings of the 10th International Joint Conferences on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018), vol. 1: KDIR, pp. 297–302 (2018)
Shishkov, B., van Sinderen, M.: From user context states to context-aware applications. In: Filipe, J., et al. (eds.) Enterprise Information Systems, ICEIS 2007. Lecture Notes in Business Information Processing, vol. 12, pp. 225–239 (2008)
Shishkov, B., Larsen, J.B., Warnier, M., Janssen, M.: Three categories of context-aware systems. In: Shishkov, B. (ed.) Business Modeling and Software Design, BMSD 2018. Lecture Notes in Business Information Processing, vol. 319, pp. 185–202 (2018).
Shishkov, B.: Tuning the behavior of context-aware applications, using semiotic norms and Bayesian modeling to establish the user situation. In: Shishkov, B. (ed.) Business Modeling and Software Design, BMSD 2019. Lecture Notes in Business Information Processing, vol. 356 (2019)
Shishkov, B.: Designing Enterprise Information Systems, Merging Enterprise Modeling and Software Specification, 246 p. Springer Nature Switzerland AG (2019)
Lerner, J., Tirole, J.: The simple economics of open source. J. Ind. Econ. 52, 197–234 (2002)
Prpić, J., Shukla, P.P., Kietzmann, J.H., mccarthy, I.P.: How to work a crowd: developing crowd capital through crowdsourcing. Bus. Horiz. 58(1), 77–85 (2015)
Branzov, T.: Managing the production of goods in a virtual community. PhD thesis—IMI-BAS, 140 p., Sofia (In Bulgarian) (2017)
Brabham, D.: Crowdsourcing as a model for problem solving: an introduction and cases. Convergence 14(1), 75–90 (2008)
Branzov, T.: Community-sourcing in virtual societies. Serdica J. Comput. 10(3–4), 263–284 (2016)
Branzov, T.: Approaches for development of online teaching materials employing resources from virtual communities. Bul. Lang. Lit. 60(2), 191–200 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Eskenazi, A., Maneva, N., Ivanova, K. (2021). Computer Science Research—Unity in Variety. In: Atanassov, K.T. (eds) Research in Computer Science in the Bulgarian Academy of Sciences. Studies in Computational Intelligence, vol 934. Springer, Cham. https://doi.org/10.1007/978-3-030-72284-5_2
Download citation
DOI: https://doi.org/10.1007/978-3-030-72284-5_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-72283-8
Online ISBN: 978-3-030-72284-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)