Tag #technical debt
34 papers:
ICSME-2019-Almeida - Business-Driven Technical Debt Prioritization (RRdA), pp. 605–609.
ICSME-2019-AlmeidaTK #framework #named- Tracy: A Business-Driven Technical Debt Prioritization Framework (RRdA, CT, UK), pp. 181–185.
ICSME-2019-IammarinoZAP #question #refactoring #self- Self-Admitted Technical Debt Removal and Refactoring Actions: Co-Occurrence or More? (MI, FZ, LA, MDP), pp. 186–190.
SANER-2019-SierraTST #architecture #question #self- Is Self-Admitted Technical Debt a Good Indicator of Architectural Divergences? (GS, AT, ES, NT), pp. 534–543.
ICSME-2018-AlmeidaKTFL #case study #multi- Aligning Technical Debt Prioritization with Business Objectives: A Multiple-Case Study (RRdA, UK, CT, DCF, AHGL), pp. 655–664.
ICSME-2018-BeskerMLBB #perspective- Embracing Technical Debt, from a Startup Company Perspective (TB, AM, REL, KB, JB), pp. 415–425.
MSR-2018-ZampettiSP08 #perspective #self- Was self-admitted technical debt removal a real removal?: an in-depth perspective (FZ, AS, MDP), pp. 526–536.
SANER-2018-DigkasLACA #developer #ecosystem #how #question- How do developers fix issues and pay back technical debt in the Apache ecosystem? (GD, ML, PA, AC, AA), pp. 153–163.
ICMT-2018-LanoRSA #model transformation #specification- Technical Debt in Model Transformation Specifications (KL, SKR, MS, HA), pp. 127–141.
- ICSE-2018-RamasubbuK #framework #process #quality #testing
- Integrating technical debt management and software quality management processes: a framework and field tests (NR, CFK), p. 883.
ECSA-2017-DigkasLCA #ecosystem #evolution- The Evolution of Technical Debt in the Apache Ecosystem (GD, ML, AC, PA), pp. 51–66.
ICSME-2017-BeskerMB #question- The Pricey Bill of Technical Debt: When and by Whom will it be Paid? (TB, AM, JB), pp. 13–23.
ICSME-2017-MaldonadoASS #empirical #self- An Empirical Study on the Removal of Self-Admitted Technical Debt (EdSM, RA, ES, AS), pp. 238–248.
ICSME-2017-ZampettiNAKP #design #recommendation #self- Recommending when Design Technical Debt Should be Self-Admitted (FZ, CN, GA, FK, MDP), pp. 216–226.
CASE-2017-CapitanV #automation #metric #quality- Metrics for software quality in automated production systems as an indicator for technical debt (LC, BVH), pp. 709–716.
WICSA-2016-VogelsangFJ #component- Characterizing Implicit Communal Components as Technical Debt in Automotive Software Systems (AV, HF, MJ), pp. 31–40.
ICPC-2016-SinghPSK #case study #comprehension- A case study of program comprehension effort and technical debt estimations (VS, LLP, WS, NAK), pp. 1–9.
MSR-2016-BavotaR #empirical #scalability #self- A large-scale empirical study on self-admitted technical debt (GB, BR), pp. 315–326.
MSR-2016-BellomoNOP #issue tracking- Got technical debt?: surfacing elusive technical debt in issue trackers (SB, RLN, IO, MP), pp. 327–338.
SANER-2016-WehaibiSG #quality #self- Examining the Impact of Self-Admitted Technical Debt on Software Quality (SW, ES, LG), pp. 179–188.
MoDELS-2016-HeALL #case study- Technical debt in MDE: a case study on GMF/EMF-based projects (XH, PA, PL, ZL), pp. 162–172.
QoSA-2015-IzurietaRG #modelling #quality- Preemptive Management of Model Driven Technical Debt for Improving Software Quality (CI, GR, IG), pp. 31–36.
WICSA-2015-LiLA #architecture #identification- Architectural Technical Debt Identification Based on Architecture Decisions and Change Scenarios (ZL, PL, PA), pp. 65–74.
WICSA-2015-MartiniB #architecture- The Danger of Architectural Technical Debt: Contagious Debt and Vicious Circles (AM, JB), pp. 1–10.
ICEIS-v2-2015-MendesAASNM #evolution #monitoring #named #open source #using #visualisation- VisMinerTD — An Open Source Tool to Support the Monitoring of the Technical Debt Evolution using Software Visualization (TSM, DAA, NSRA, ROS, RLN, MGM), pp. 457–462.
ESEC-FSE-2015-ErnstBONG - Measure it? Manage it? Ignore it? software practitioners and technical debt (NAE, SB, IO, RLN, IG), pp. 50–60.
ICSE-v2-2015-KazmanCMFXHFS #architecture #case study- A Case Study in Locating the Architectural Roots of Technical Debt (RK, YC, RM, QF, LX, SH, VF, AS), pp. 179–188.
QoSA-2014-LiLAGA #architecture #composition #empirical #metric- An empirical investigation of modularity metrics for indicating architectural technical debt (ZL, PL, PA, NG, AA), pp. 119–128.
ICSME-2014-PotdarS #case study #self- An Exploratory Study on Self-Admitted Technical Debt (AP, ES), pp. 91–100.
QoSA-2013-Schmid #approach #formal method- A formal approach to technical debt decision making (KS), pp. 153–162.
WICSA-ECSA-2012-NordOKG #architecture #metric- In Search of a Metric for Managing Architectural Technical Debt (RLN, IO, PK, MGR), pp. 91–100.
ICSE-2012-Vetro #automation #identification #static analysis #using- Using automatic static analysis to identify technical debt (AV), pp. 1613–1615.
ICST-2012-WiklundESL #automation #testing- Technical Debt in Test Automation (KW, SE, DS, KL), pp. 887–892.
ICSM-2011-GuoSGCTSSS #case study- Tracking technical debt — An exploratory case study (YG, CBS, RG, AC, GT, FQBdS, ALMS, CdS), pp. 528–531.