LEADER 04206nam 22006615 450 001 9910483314503321 005 20200706025622.0 010 $a3-030-34706-0 024 7 $a10.1007/978-3-030-34706-2 035 $a(CKB)5280000000190145 035 $a(MiAaPQ)EBC6000770 035 $a(DE-He213)978-3-030-34706-2 035 $a(PPN)243771444 035 $a(EXLCZ)995280000000190145 100 $a20191214d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData-Centric Business and Applications $eTowards Software Development (Volume 4) /$fedited by Aneta Poniszewska-Mara?da, Natalia Kryvinska, Stanis?aw Jarz?bek, Lech Madeyski 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (270 pages) 225 1 $aLecture Notes on Data Engineering and Communications Technologies,$x2367-4512 ;$v40 311 $a3-030-34705-2 327 $aTowards A Unified Requirements Model for Distributed High Performance Computing -- Bridging Requirements Engineering and Software Development Process -- Information Management System for an Administrative Office With RFID-Tagged Classified Documents -- Software Defect Prediction using Bad Code Smells: A Systematic Literature Review -- Software Development Artifacts in Large Agile Organizations: A Comparison Of Scaling Agile Methods -- Tabu Search Algortihm for Vehicle Routing Problem with Time Windows -- Code Smell Prediction Employing Machine Learning Meets Emerging Java Language Constructs -- Cloud Cognitive Services Based On Machine Learning Methods In Architecture Of Modern Knowledge Management Solutions -- Anti-Cheat Tool For Detecting Unauthorized User Interference In The Unity Engine Using Blockchain -- Approaches To Business Analysis in Scrum at Stepstone ? Case Study -- Development Method of Innovative Projects in Higher Education Based on Traditional Software Building Process -- Light-weight Congestion Control for the DCCP: Implementation in the Linux Kernel. 330 $aThis book explores various aspects of software creation and development as well as data and information processing. It covers relevant topics such as business analysis, business rules, requirements engineering, software development processes, software defect prediction, information management systems, and knowledge management solutions. Lastly, the book presents lessons learned in information and data management processes and procedures. . 410 0$aLecture Notes on Data Engineering and Communications Technologies,$x2367-4512 ;$v40 606 $aEngineering?Data processing 606 $aComputational intelligence 606 $aBig data 606 $aArtificial intelligence 606 $aData Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11040 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aBig Data/Analytics$3https://scigraph.springernature.com/ontologies/product-market-codes/522070 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aEngineering?Data processing. 615 0$aComputational intelligence. 615 0$aBig data. 615 0$aArtificial intelligence. 615 14$aData Engineering. 615 24$aComputational Intelligence. 615 24$aBig Data/Analytics. 615 24$aArtificial Intelligence. 676 $a658 676 $a658.4038 702 $aPoniszewska-Mara?da$b Aneta$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKryvinska$b Natalia$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJarz?bek$b Stanis?aw$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMadeyski$b Lech$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483314503321 996 $aData-Centric Business and Applications$91935256 997 $aUNINA