LEADER 02234nam 2200349 450 001 9910412446903321 005 20230830135907.0 024 7 $a10.5555/3355321 035 $a(CKB)5280000000244491 035 $a(NjHacI)995280000000244491 035 $a(EXLCZ)995280000000244491 100 $a20230830d2019 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of the Second International Conference on Technical Debt /$fParis Avgeriou, Klaus Schmid 210 1$aPublisher: IEEE Press :$cIEEE Press,$d2019. 215 $a1 online resource 330 $aTechnical debt is a metaphor that software developers and managers increasingly use to communicate key trade-offs between business constraints and internal quality issues, especially those related to time to market. While other software engineering disciplines---such as software sustainability, maintenance and evolution, refactoring, software quality, and empirical software engineering---have produced results relevant to managing technical debt, none of them alone suffices to model, manage, and communicate the different facets of the complex trade-offs involved in managing technical debt. Similarly, while many software engineering practices can be used to get ahead of technical debt, organizations struggle with managing technical debt routinely and strategically. Technical debt draws on research from many domains that is becoming part of the answer to the technical-debt question: how do we quantify and monitor the economic impact of decisions over time? This research includes software engineering disciplines in software aging and decay, risk management, qualitative methods and appreciation for context, software metrics, program analysis, and software quality. 606 $aSoftware engineering$vCongresses 615 0$aSoftware engineering 676 $a005.1 700 $aAvgeriou$b Paris$0887137 702 $aSchmid$b Klaus 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910412446903321 996 $aProceedings of the Second International Conference on Technical Debt$93461963 997 $aUNINA