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010   $a3-031-11658-5
024 7 $a10.1007/978-3-031-11658-2
035   $a(CKB)5580000000514054
035   $a(MiAaPQ)EBC7192168
035   $a(Au-PeEL)EBL7192168
035   $a(OCoLC)1369651261
035   $a(DE-He213)978-3-031-11658-2
035   $a(PPN)268206120
035   $a(EXLCZ)995580000000514054
100   $a20230206d2023      u|             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aDeveloping Sustainable and Energy-Efficient Software Systems$b[electronic resource] /$fby Artem Kruglov, Giancarlo Succi
205   $a1st ed. 2023.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023.
215   $a1 online resource (86 pages)
225 1 $aSpringerBriefs in Computer Science,$x2191-5776
311   $a3-031-11657-7 
330   $aThis open access book provides information how to choose and collect the appropriate metrics for a software project in an organization. There are several kinds of metrics, based on the analysis of source code and developed for different programming paradigms such as structured programming and object-oriented programming (OOP). This way, the book follows three main objectives: (i) to identify existing and easily-collectible measures, if possible in the early phases of software development, for predicting and modeling both the traditional attributes of software systems and attributes specifically related to their efficient use of resources, and to create new metrics for such purposes; (ii) to describe ways to collect these measures during the entire lifecycle of a system, using minimally-invasive monitoring of design-time processes, and consolidate them into conceptual frameworks able to support model building by using a variety of approaches, including statistics, data mining and computational intelligence; and (iii) to present models and tools to support design time evolution of systems based on design-time measures and to empirically validate them. The book provides researchers and advanced professionals with methods for understanding the full implications of alternative choices and their relative attractiveness in terms of enhancing system resilience. It also explores the simultaneous use of multiple models that reflect different system interpretations or stakeholder perspectives.
410  0$aSpringerBriefs in Computer Science,$x2191-5776
606   $aSoftware engineering
606   $aSoftware engineering?Management
606   $aSoftware Engineering
606   $aSoftware Management
615  0$aSoftware engineering.
615  0$aSoftware engineering?Management.
615 14$aSoftware Engineering.
615 24$aSoftware Management.
676   $a005.1
700   $aKruglov$b Artem$01339187
701   $aSucci$b Giancarlo$0875726
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a996547972503316
996   $aDeveloping Sustainable and Energy-Efficient Software Systems$93059805
997   $aUNISA