Liskov, Barbara (1 May 1988). "Keynote address - data abstraction and hierarchy". Addendum to the proceedings on Object-oriented programming systems, languages and applications (Addendum) - OOPSLA '87. Vol. 23. ACM. pp. 17–34. doi:10.1145/62138.62141. ISBN0897912667. S2CID14219043. {{cite book}}: |journal= ignored (help)
E, Jian-Yu; Saldanha, Ian J.; Canner, Joseph; Schmid, Christopher H.; Le, Jimmy T.; Li, Tianjing (2020). "Adjudication rather than experience of data abstraction matters more in reducing errors in abstracting data in systematic reviews". Research Synthesis Methods. 11 (3): 354–362. doi:10.1002/jrsm.1396. ISSN1759-2879. PMID31955502. S2CID210829764.
This article is based on material taken from Abstraction at the Free On-line Dictionary of Computing prior to 1 November 2008 and incorporated under the "relicensing" terms of the GFDL, version 1.3 or later.
E, Jian-Yu; Saldanha, Ian J.; Canner, Joseph; Schmid, Christopher H.; Le, Jimmy T.; Li, Tianjing (2020). "Adjudication rather than experience of data abstraction matters more in reducing errors in abstracting data in systematic reviews". Research Synthesis Methods. 11 (3): 354–362. doi:10.1002/jrsm.1396. ISSN1759-2879. PMID31955502. S2CID210829764.
Liskov, Barbara (1 May 1988). "Keynote address - data abstraction and hierarchy". Addendum to the proceedings on Object-oriented programming systems, languages and applications (Addendum) - OOPSLA '87. Vol. 23. ACM. pp. 17–34. doi:10.1145/62138.62141. ISBN0897912667. S2CID14219043. {{cite book}}: |journal= ignored (help)
E, Jian-Yu; Saldanha, Ian J.; Canner, Joseph; Schmid, Christopher H.; Le, Jimmy T.; Li, Tianjing (2020). "Adjudication rather than experience of data abstraction matters more in reducing errors in abstracting data in systematic reviews". Research Synthesis Methods. 11 (3): 354–362. doi:10.1002/jrsm.1396. ISSN1759-2879. PMID31955502. S2CID210829764.
E, Jian-Yu; Saldanha, Ian J.; Canner, Joseph; Schmid, Christopher H.; Le, Jimmy T.; Li, Tianjing (2020). "Adjudication rather than experience of data abstraction matters more in reducing errors in abstracting data in systematic reviews". Research Synthesis Methods. 11 (3): 354–362. doi:10.1002/jrsm.1396. ISSN1759-2879. PMID31955502. S2CID210829764.