Source Code Analysis: Current and Future Trends & Challenges; Key Engineering Materials; Vol. 685 : High Technology: Research and Applications 2015 (HTRA 2015)
| Parent link: | Key Engineering Materials: Scientific Journal Vol. 685 : High Technology: Research and Applications 2015 (HTRA 2015).— 2016.— [P. 877-880] |
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| Egile nagusia: | |
| Erakunde egilea: | |
| Beste egile batzuk: | , |
| Gaia: | Title screen The increasing complexity of software systems is making source code analysis a more economic option to automate the identification of defects, vulnerabilities and inefficiencies. This paper initially outlines the general anatomy of automatic source code analyzers, dimensions of analysis that can be performed with today’s state-of-the-art tools, various limitations of automatic source code analysis in the areas of programming language coverage, quantity of false positive claims, system architecture breakdowns and code/time complexity. The paper is concluded by presenting future tentative trends of source code analysis. Режим доступа: по договору с организацией-держателем ресурса |
| Hizkuntza: | ingelesa |
| Argitaratua: |
2016
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| Saila: | Information Technology, Data and Signal Processing |
| Gaiak: | |
| Sarrera elektronikoa: | http://dx.doi.org/10.4028/www.scientific.net/KEM.685.877 |
| Formatua: | Baliabide elektronikoa Liburu kapitulua |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=646559 |
MARC
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| 200 | 1 | |a Source Code Analysis: Current and Future Trends & Challenges |f A. A. Ponomarev, H. S. Nalamvar, R. Jaiswal | |
| 203 | |a Text |c electronic | ||
| 225 | 1 | |a Information Technology, Data and Signal Processing | |
| 300 | |a Title screen | ||
| 330 | |a The increasing complexity of software systems is making source code analysis a more economic option to automate the identification of defects, vulnerabilities and inefficiencies. This paper initially outlines the general anatomy of automatic source code analyzers, dimensions of analysis that can be performed with today’s state-of-the-art tools, various limitations of automatic source code analysis in the areas of programming language coverage, quantity of false positive claims, system architecture breakdowns and code/time complexity. The paper is concluded by presenting future tentative trends of source code analysis. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 461 | 0 | |0 (RuTPU)RU\TPU\network\11477 |t Key Engineering Materials |o Scientific Journal | |
| 463 | 0 | |0 (RuTPU)RU\TPU\network\11478 |t Vol. 685 : High Technology: Research and Applications 2015 (HTRA 2015) |o The IV International Conference, April 21-24, 2015, Tomsk, Russia |o [proceedings] |f National Research Tomsk Polytechnic University (TPU) ; ed. N. V. Martyushev, A. M. Bogdan |v [P. 877-880] |d 2016 | |
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| 700 | 1 | |a Ponomarev |b A. A. |c specialist in the field of informatics and computer technology |c Associate Professor of Tomsk Polytechnic University, Candidate of Technical Sciences |f 1979- |g Aleksey Anatolievich |3 (RuTPU)RU\TPU\pers\32480 |9 16427 | |
| 701 | 1 | |a Nalamvar |b H. S. |c specialist in the field of automatic control |c assistant of Tomsk Polytechnic University |f 1987- |g Hitesh Sanzhay |3 (RuTPU)RU\TPU\pers\36316 | |
| 701 | 1 | |a Jaiswal |b R. | |
| 712 | 0 | 2 | |a Томский политехнический университет |b Институт кибернетики, ИК |c 2010-2017 |9 27025 |
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| 856 | 4 | |u http://dx.doi.org/10.4028/www.scientific.net/KEM.685.877 | |
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