Travelled to:1 × Australia
1 × Belgium
1 × China
1 × Germany
1 × Ireland
1 × New Zealand
1 × Switzerland
1 × United Kingdom
11 × USA
3 × Canada
3 × Italy
Collaborated with:F.Peters A.Marcus M.S.Feather W.F.0002 D.Port ∅ J.Hihn J.D.Kiper D.Owen E.Kocaguneli A.S.Sayyad H.Ammar R.Krishna L.L.Minku S.Williams E.Sinsel P.Haynes R.Spurrett G.Gay Z.Chen S.Haiduc O.El-Rawas B.W.Boehm T.Zimmermann L.Layman A.Olkov J.H.Andrews F.C.H.Li J.R.Connelly R.R.Lutz I.C.Mikulski B.Cukic J.D.Powell M.E.Houle J.M.Edwards K.Ng W.Fu S.Cherian J.Ingram G.Scanniello C.Gravino P.G.II S.M.Easterbrook B.Nuseibeh S.Waugh V.Nair N.Siegmund S.Apel D.Chen C.Bird N.Nagappan B.Turhan A.Butcher D.R.Cok L.Huang L.Wang T.Xie Y.Yang J.W.Keung J.Schumann K.Gundy-Burlet C.S.Pasareanu T.Barrett S.Stukes D.Raffo S.Setamanit Y.Hu S.Tootoonia G.Bavota R.Oliveto A.D.Lucia R.J.Madachy J.Chen J.Chakraborty P.Clark K.Haverlock Z.Y.0002 F.M.Fahid G.Rothermel K.Patrick B.Lemon A.Riesbeck J.Price J.D'Alessandro R.Carlsson T.Prifiti H.Lu
Talks about:softwar (19) engin (10) predict (7) defect (7) better (6) model (6) data (6) case (6) use (6) requir (4)
♂ Person: Tim Menzies
DBLP: Menzies:Tim
Facilitated 14 volumes:
PrCo
ExpertReviewPaPrBoardPrCoPrCoEdPrChPrCoPrCoDSChPrCoPrCoPrCoPrCoContributed to:
2015201520132013201320122011201020092009
200920082008200720052005
2003
20032002200220012001200019991996
199319922016
201720182019Wrote 47 papers:
- ICSE-v1-2015-PetersML #fault #named #predict #privacy
- LACE2: Better Privacy-Preserving Data Sharing for Cross Project Defect Prediction (FP, TM, LL), pp. 801–811.
- ICSE-v2-2015-MenziesMP #data analysis
- The Art and Science of Analyzing Software Data; Quantitative Methods (TM, LLM, FP), pp. 959–960.
- ASE-2013-SayyadIMA #product line #scalability
- Scalable product line configuration: A straw to break the camel’s back (ASS, JI, TM, HA), pp. 465–474.
- ASE-2013-ScannielloGMM #clustering #fault #predict #using
- Class level fault prediction using software clustering (GS, CG, AM, TM), pp. 640–645.
- ICSE-2013-HaiducBMOLM #automation #query #re-engineering #retrieval
- Automatic query reformulations for text retrieval in software engineering (SH, GB, AM, RO, ADL, TM), pp. 842–851.
- ICSE-2013-KocaguneliZBNM #development #distributed #harmful #question
- Distributed development considered harmful? (EK, TZ, CB, NN, TM), pp. 882–890.
- ICSE-2013-MenziesKPTM #re-engineering
- Data science for software engineering (TM, EK, FP, BT, LLM), pp. 1484–1486.
- ICSE-2013-SayyadMA #case study #on the #product line #re-engineering #search-based
- On the value of user preferences in search-based software engineering: a case study in software product lines (ASS, TM, HA), pp. 492–501.
- MSR-2013-PetersMM #fault #predict
- Better cross company defect prediction (FP, TM, AM), pp. 409–418.
- ICSE-2012-PetersM #fault #predict #privacy
- Privacy and utility for defect prediction: Experiments with MORPH (FP, TM), pp. 189–199.
- ASE-2011-MenziesBMZC #estimation #fault #modelling #predict
- Local vs. global models for effort estimation and defect prediction (TM, AB, AM, TZ, DRC), pp. 343–351.
- ASE-2010-HuangPWXM #assurance #mining
- Text mining in supporting software systems risk assurance (LH, DP, LW, TX, TM), pp. 163–166.
- ASE-2010-KocaguneliGMYK #estimation
- When to use data from other projects for effort estimation (EK, GG, TM, YY, JWK), pp. 321–324.
- ASE-2009-GreenMWE #comprehension #re-engineering
- Understanding the Value of Software Engineering Technologies (PGI, TM, SW, OER), pp. 52–61.
- ASE-2009-LemonRMPDCPPLP #agile #development #simulation
- Applications of Simulation and AI Search: Assessing the Relative Merits of Agile vs Traditional Software Development (BL, AR, TM, JP, JD, RC, TP, FP, HL, DP), pp. 580–584.
- ICSE-2009-MenziesWBH #how #probability #process #using
- How to avoid drastic software process change (using stochastic stability) (TM, SW, BWB, JH), pp. 540–550.
- ICSM-2009-GayHMM #concept #feedback #on the #using
- On the use of relevance feedback in IR-based concept location (GG, SH, AM, TM), pp. 351–360.
- ASE-2008-PortOM #requirements #simulation #using
- Using Simulation to Investigate Requirements Prioritization Strategies (DP, AO, TM), pp. 268–277.
- ASE-2008-SchumannGPMB #analysis #parametricity #scalability #simulation #tool support
- Tool Support for Parametric Analysis of Large Software Simulation Systems (JS, KGB, CSP, TM, TB), pp. 497–498.
- ICSM-2008-MenziesM #assessment #automation #fault
- Automated severity assessment of software defect reports (TM, AM), pp. 346–355.
- ASE-2007-AndrewsLM #generative #named #testing
- Nighthawk: a two-level genetic-random unit test data generator (JHA, FCHL, TM), pp. 144–153.
- ASE-2007-MenziesEHFMB #automation #re-engineering
- The business case for automated software engineering (TM, OER, JH, MSF, RJM, BWB), pp. 303–312.
- ASE-2005-MenziesPCH #cost analysis #modelling
- Specialization and extrapolation of software cost models (TM, DP, ZC, JH), pp. 384–387.
- ICSE-2005-MenziesPCHS #modelling #validation
- Validation methods for calibrating software effort models (TM, DP, ZC, JH, SS), pp. 587–595.
- RE-2003-FeatherMC #process #research
- Relating Practitioner Needs to Research Activities (MSF, TM, JRC), p. 352–?.
- SEKE-2003-MenziesKF #automation #re-engineering #reduction #tool support
- Improved Software Engineering Decision Support Through Automatic Argument Reduction Tools (TM, JDK, MSF), pp. 655–662.
- SEKE-2003-MenziesLM #analysis #fault
- Better Analysis of Defect Data at NASA (TM, RRL, ICM), pp. 607–611.
- SEKE-2003-OwenM #lightweight #model checking #named
- Lurch: a Lightweight Alternative to Model Checking (DO, TM), pp. 158–165.
- ASE-2002-MenziesRSHT #modelling #testing
- Model-Based Tests of Truisms (TM, DR, SoS, YH, ST), p. 183–?.
- ASE-2002-OwenMC #finite #modelling #question #what
- What Makes Finite-State Models More (or Less) Testable? (DO, TM, BC), pp. 237–240.
- RE-2002-FeatherM #convergence #requirements
- Converging on the Optimal Attainment of Requirements (MSF, TM), pp. 263–272.
- ASE-2001-MenziesK #process #re-engineering #reasoning
- Better Reasoning About Software Engineering Activities (TM, JDK), pp. 391–394.
- ICSE-2001-MenziesPH #analysis #diagrams #formal method #performance #requirements
- Fast Formal Analysis of Requirements via “Topoi Diagrams” (TM, JDP, MEH), pp. 391–400.
- ASE-2000-MenziesS #assessment #case study #query #risk management #scalability
- Practical Large Scale What-If Queries: Case Studies with Software Risk Assessment (TM, ES), p. 165–?.
- RE-1999-MenziesENW #empirical #multi #reasoning #requirements
- An Empirical Investigation of Multiple Viewpoint Reasoning in Requirements Engineering (TM, SME, BN, SW), p. 100–?.
- SEKE-1996-Menzies #information management #programming #re-engineering #visual notation
- Visual Programming, Knowledge Engineering, and Software Engineering (TM), pp. 506–513.
- TOOLS-PACIFIC-1993-HaynesM #question #smalltalk
- “C++ is Better Than Smalltalk”?? (PH, TM), pp. 75–82.
- TOOLS-PACIFIC-1993-MenziesEN #library #reuse
- The Mysterious Case of the Missing Reusable Class Libraries (TM, JME, KN), pp. 421–427.
- TOOLS-PACIFIC-1993-MenziesS #black box #constraints #framework #how
- How to Edit “It”; or: A “Black-box” Constraint-Based Framework for User-Interaction with Arbitrary Structures (TM, RS), pp. 213–224.
- TOOLS-PACIFIC-1992-Menzies #information management #representation
- Is-a Object Part-of Knowledge Representation (Part 2) (TM), pp. 213–223.
- ASE-2016-KrishnaMF #automation #learning
- Too much automation? the bellwether effect and its implications for transfer learning (RK, TM, WF), pp. 122–131.
- ESEC-FSE-2017-FuM #case study #learning
- Easy over hard: a case study on deep learning (WF0, TM), pp. 49–60.
- ESEC-FSE-2017-FuM17a #fault #learning #predict
- Revisiting unsupervised learning for defect prediction (WF0, TM), pp. 72–83.
- ESEC-FSE-2017-NairMSA #using
- Using bad learners to find good configurations (VN, TM, NS, SA), pp. 257–267.
- ESEC-FSE-2018-ChenFKM
- Applications of psychological science for actionable analytics (DC, WF0, RK, TM), pp. 456–467.
- ESEC-FSE-2019-ChenCCHCM #predict
- Predicting breakdowns in cloud services (with SPIKE) (JC, JC, PC, KH, SC, TM), pp. 916–924.
- ESEC-FSE-2019-YuFMRPC #automation #named #testing #user interface
- TERMINATOR: better automated UI test case prioritization (ZY0, FMF, TM, GR, KP, SC), pp. 883–894.