Travelled to:1 × Belgium
1 × India
1 × Italy
1 × Sweden
3 × USA
Collaborated with:S.Apel C.Kästner M.Völter T.Berger J.Liebig A.Brechmann N.Siegmund J.Quante M.Tarabain T.Leich G.Saake B.Kolb S.Schulze D.S.Batory R.Gonçalves B.Marker C.Parnin A.Bethmann M.Joblin W.Mauerer D.Riehle H.P.Jensen T.Dangprasert O.Leßenich G.Seibt N.Peitek J.Hofmeister A.Begel
Talks about:softwar (3) toward (3) code (3) understand (2) comprehens (2) knowledg (2) function (2) project (2) program (2) control (2)
Person: Janet Siegmund
DBLP: Siegmund:Janet
Contributed to:
2015
20142014
2014
20132013
20122016
2017
2017Wrote 11 papers:
- ICSE-v1-2015-JoblinMASR #approach #community #developer #fine-grained #network
- From Developer Networks to Verified Communities: A Fine-Grained Approach (MJ, WM, SA, JS, DR), pp. 563–573.
- ICSE-v1-2015-SiegmundSA #empirical #re-engineering
- Views on Internal and External Validity in Empirical Software Engineering (JS, NS, SA), pp. 9–19.
- CSMR-WCRE-2014-QuanteTS #c #case study #towards
- Towards recovering and exploiting domain knowledge from C code: A case study on automotive software (JQ, MT, JS), pp. 383–386.
- ICSE-2014-SiegmundKAPBLSB #comprehension #functional #source code
- Understanding understanding source code with functional magnetic resonance imaging (JS, CK, SA, CP, AB, TL, GS, AB), pp. 378–389.
- SLE-2014-VolterSBK #editing #projectional #towards
- Towards User-Friendly Projectional Editors (MV, JS, TB, BK), pp. 41–61.
- GPCE-2013-SchulzeLSA #empirical #matter #preprocessor
- Does the discipline of preprocessor annotations matter?: a controlled experiment (SS, JL, JS, SA), pp. 65–74.
- SLE-2013-BatoryGMS #automation #design #graph grammar
- Dark Knowledge and Graph Grammars in Automated Software Design (DSB, RG, BM, JS), pp. 1–18.
- FSE-2012-SiegmundBAKLLS #comprehension #functional #towards
- Toward measuring program comprehension with functional magnetic resonance imaging (JS, AB, SA, CK, JL, TL, GS), p. 24.
- FSE-2016-BergerVJDS #editing #empirical #performance #projectional
- Efficiency of projectional editing: a controlled experiment (TB, MV, HPJ, TD, JS), pp. 763–774.
- ASE-2017-LessenichAKSS #performance #precise
- Renaming and shifted code in structured merging: looking ahead for precision and performance (OL, SA, CK, GS, JS), pp. 543–553.
- ESEC-FSE-2017-SiegmundPPAHKBB #comprehension #performance
- Measuring neural efficiency of program comprehension (JS, NP, CP, SA, JH, CK, AB, AB, AB), pp. 140–150.