Prototyping a process monitoring experiment
Features are often the basic unit of development for a very large software system and represent long-term efforts, spanning up to several years from inception to actual use. Developing an experiment to monitor (by means of sampling) such lengthy processes requires a great deal of care in order to mi...
Gespeichert in:
Veröffentlicht in: | IEEE transactions on software engineering 1994-10, Vol.20 (10), p.774-784 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 784 |
---|---|
container_issue | 10 |
container_start_page | 774 |
container_title | IEEE transactions on software engineering |
container_volume | 20 |
creator | Bradac, M.G. Perry, D.E. Votta, L.G. |
description | Features are often the basic unit of development for a very large software system and represent long-term efforts, spanning up to several years from inception to actual use. Developing an experiment to monitor (by means of sampling) such lengthy processes requires a great deal of care in order to minimize casts and to maximize benefits. Just as prototyping is often a necessary auxiliary step in a large-scale, long-term development effort, so, too, is prototyping a necessary step in the development of a large-scale, long-term process monitoring experiment. Therefore, we have prototyped our experiment using a representative process and reconstructed data from a large and rich feature development. This approach has yielded three interesting sets of results. First, we reconstructed a 30-month time diary for the lead engineer of a feature composed of both hardware and software. These data represent the daily state (where the lead engineer spent the majority of his time) for a complete cycle of the development process. Second, we found that we needed to modify our experimental design. Our initial set of states did not represent the data as well as we had hoped. This is exemplified by the fact that the "Other" category is too large. Finally, the data provide evidence for both a waterfall view and an interactive, cyclic view of software development. We conclude that the prototyping effort is a necessary part of developing and installing any large-scale process monitoring experiment.< > |
doi_str_mv | 10.1109/32.328994 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_ieee_primary_328994</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>328994</ieee_id><sourcerecordid>50988</sourcerecordid><originalsourceid>FETCH-LOGICAL-c304t-8bc1154e1cb6216fb4e2755b646fcb9e9e770fa81ed930a40b7354e5022257603</originalsourceid><addsrcrecordid>eNpd0E1LAzEQBuAgCtbqwaun4kEQ2Tr5mGRzlOIXFPSg57AbZ2VLu1mTLdh_b2SLB08DMw_DzMvYOYc552BvpZhLUVqrDtiEW2kLiQIO2QTAlgViaY_ZSUorAEBjcMJuXmMYwrDr2-5zVs36GDylNNuErh1C_G3Sd0-x3VA3nLKjplonOtvXKXt_uH9bPBXLl8fnxd2y8BLUUJS15xwVcV9rwXVTKxIGsdZKN762ZMkYaKqS04eVUCmojcwcQQiBRoOcsqtxb77ma0tpcJs2eVqvq47CNjmhMWOuM7z8B1dhG7t8m-MW0Siuy4yuR-RjSClS4_r8ThV3joP7zcxJ4cbMsr0YbUtEf24__AEe82TK</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>195574168</pqid></control><display><type>article</type><title>Prototyping a process monitoring experiment</title><source>IEEE/IET Electronic Library (IEL)</source><creator>Bradac, M.G. ; Perry, D.E. ; Votta, L.G.</creator><creatorcontrib>Bradac, M.G. ; Perry, D.E. ; Votta, L.G.</creatorcontrib><description>Features are often the basic unit of development for a very large software system and represent long-term efforts, spanning up to several years from inception to actual use. Developing an experiment to monitor (by means of sampling) such lengthy processes requires a great deal of care in order to minimize casts and to maximize benefits. Just as prototyping is often a necessary auxiliary step in a large-scale, long-term development effort, so, too, is prototyping a necessary step in the development of a large-scale, long-term process monitoring experiment. Therefore, we have prototyped our experiment using a representative process and reconstructed data from a large and rich feature development. This approach has yielded three interesting sets of results. First, we reconstructed a 30-month time diary for the lead engineer of a feature composed of both hardware and software. These data represent the daily state (where the lead engineer spent the majority of his time) for a complete cycle of the development process. Second, we found that we needed to modify our experimental design. Our initial set of states did not represent the data as well as we had hoped. This is exemplified by the fact that the "Other" category is too large. Finally, the data provide evidence for both a waterfall view and an interactive, cyclic view of software development. We conclude that the prototyping effort is a necessary part of developing and installing any large-scale process monitoring experiment.< ></description><identifier>ISSN: 0098-5589</identifier><identifier>EISSN: 1939-3520</identifier><identifier>DOI: 10.1109/32.328994</identifier><identifier>CODEN: IESEDJ</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Accuracy ; Costs ; Data engineering ; Design engineering ; Design for experiments ; Design specifications ; Experiments ; Hardware ; Installations ; Laboratories ; Large-scale systems ; Librarians ; Libraries ; Monitoring ; Prototypes ; Sampling methods ; Software development ; Software industry ; Software prototyping ; Software systems ; Studies ; Systems development</subject><ispartof>IEEE transactions on software engineering, 1994-10, Vol.20 (10), p.774-784</ispartof><rights>Copyright Institute of Electrical and Electronics Engineers, Inc. (IEEE) Oct 1994</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c304t-8bc1154e1cb6216fb4e2755b646fcb9e9e770fa81ed930a40b7354e5022257603</citedby><cites>FETCH-LOGICAL-c304t-8bc1154e1cb6216fb4e2755b646fcb9e9e770fa81ed930a40b7354e5022257603</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/328994$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/328994$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Bradac, M.G.</creatorcontrib><creatorcontrib>Perry, D.E.</creatorcontrib><creatorcontrib>Votta, L.G.</creatorcontrib><title>Prototyping a process monitoring experiment</title><title>IEEE transactions on software engineering</title><addtitle>TSE</addtitle><description>Features are often the basic unit of development for a very large software system and represent long-term efforts, spanning up to several years from inception to actual use. Developing an experiment to monitor (by means of sampling) such lengthy processes requires a great deal of care in order to minimize casts and to maximize benefits. Just as prototyping is often a necessary auxiliary step in a large-scale, long-term development effort, so, too, is prototyping a necessary step in the development of a large-scale, long-term process monitoring experiment. Therefore, we have prototyped our experiment using a representative process and reconstructed data from a large and rich feature development. This approach has yielded three interesting sets of results. First, we reconstructed a 30-month time diary for the lead engineer of a feature composed of both hardware and software. These data represent the daily state (where the lead engineer spent the majority of his time) for a complete cycle of the development process. Second, we found that we needed to modify our experimental design. Our initial set of states did not represent the data as well as we had hoped. This is exemplified by the fact that the "Other" category is too large. Finally, the data provide evidence for both a waterfall view and an interactive, cyclic view of software development. We conclude that the prototyping effort is a necessary part of developing and installing any large-scale process monitoring experiment.< ></description><subject>Accuracy</subject><subject>Costs</subject><subject>Data engineering</subject><subject>Design engineering</subject><subject>Design for experiments</subject><subject>Design specifications</subject><subject>Experiments</subject><subject>Hardware</subject><subject>Installations</subject><subject>Laboratories</subject><subject>Large-scale systems</subject><subject>Librarians</subject><subject>Libraries</subject><subject>Monitoring</subject><subject>Prototypes</subject><subject>Sampling methods</subject><subject>Software development</subject><subject>Software industry</subject><subject>Software prototyping</subject><subject>Software systems</subject><subject>Studies</subject><subject>Systems development</subject><issn>0098-5589</issn><issn>1939-3520</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1994</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpd0E1LAzEQBuAgCtbqwaun4kEQ2Tr5mGRzlOIXFPSg57AbZ2VLu1mTLdh_b2SLB08DMw_DzMvYOYc552BvpZhLUVqrDtiEW2kLiQIO2QTAlgViaY_ZSUorAEBjcMJuXmMYwrDr2-5zVs36GDylNNuErh1C_G3Sd0-x3VA3nLKjplonOtvXKXt_uH9bPBXLl8fnxd2y8BLUUJS15xwVcV9rwXVTKxIGsdZKN762ZMkYaKqS04eVUCmojcwcQQiBRoOcsqtxb77ma0tpcJs2eVqvq47CNjmhMWOuM7z8B1dhG7t8m-MW0Siuy4yuR-RjSClS4_r8ThV3joP7zcxJ4cbMsr0YbUtEf24__AEe82TK</recordid><startdate>19941001</startdate><enddate>19941001</enddate><creator>Bradac, M.G.</creator><creator>Perry, D.E.</creator><creator>Votta, L.G.</creator><general>IEEE</general><general>IEEE Computer Society</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88F</scope><scope>88I</scope><scope>88K</scope><scope>8AL</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>K9.</scope><scope>L.-</scope><scope>L6V</scope><scope>M0C</scope><scope>M0N</scope><scope>M0S</scope><scope>M1P</scope><scope>M1Q</scope><scope>M2O</scope><scope>M2P</scope><scope>M2T</scope><scope>M7S</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>7SC</scope><scope>8FD</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>19941001</creationdate><title>Prototyping a process monitoring experiment</title><author>Bradac, M.G. ; Perry, D.E. ; Votta, L.G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c304t-8bc1154e1cb6216fb4e2755b646fcb9e9e770fa81ed930a40b7354e5022257603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1994</creationdate><topic>Accuracy</topic><topic>Costs</topic><topic>Data engineering</topic><topic>Design engineering</topic><topic>Design for experiments</topic><topic>Design specifications</topic><topic>Experiments</topic><topic>Hardware</topic><topic>Installations</topic><topic>Laboratories</topic><topic>Large-scale systems</topic><topic>Librarians</topic><topic>Libraries</topic><topic>Monitoring</topic><topic>Prototypes</topic><topic>Sampling methods</topic><topic>Software development</topic><topic>Software industry</topic><topic>Software prototyping</topic><topic>Software systems</topic><topic>Studies</topic><topic>Systems development</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bradac, M.G.</creatorcontrib><creatorcontrib>Perry, D.E.</creatorcontrib><creatorcontrib>Votta, L.G.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>Medical Database (Alumni Edition)</collection><collection>Military Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Telecommunications (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global (ProQuest)</collection><collection>Computing Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Military Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Telecommunications Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transactions on software engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Bradac, M.G.</au><au>Perry, D.E.</au><au>Votta, L.G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prototyping a process monitoring experiment</atitle><jtitle>IEEE transactions on software engineering</jtitle><stitle>TSE</stitle><date>1994-10-01</date><risdate>1994</risdate><volume>20</volume><issue>10</issue><spage>774</spage><epage>784</epage><pages>774-784</pages><issn>0098-5589</issn><eissn>1939-3520</eissn><coden>IESEDJ</coden><abstract>Features are often the basic unit of development for a very large software system and represent long-term efforts, spanning up to several years from inception to actual use. Developing an experiment to monitor (by means of sampling) such lengthy processes requires a great deal of care in order to minimize casts and to maximize benefits. Just as prototyping is often a necessary auxiliary step in a large-scale, long-term development effort, so, too, is prototyping a necessary step in the development of a large-scale, long-term process monitoring experiment. Therefore, we have prototyped our experiment using a representative process and reconstructed data from a large and rich feature development. This approach has yielded three interesting sets of results. First, we reconstructed a 30-month time diary for the lead engineer of a feature composed of both hardware and software. These data represent the daily state (where the lead engineer spent the majority of his time) for a complete cycle of the development process. Second, we found that we needed to modify our experimental design. Our initial set of states did not represent the data as well as we had hoped. This is exemplified by the fact that the "Other" category is too large. Finally, the data provide evidence for both a waterfall view and an interactive, cyclic view of software development. We conclude that the prototyping effort is a necessary part of developing and installing any large-scale process monitoring experiment.< ></abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/32.328994</doi><tpages>11</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 0098-5589 |
ispartof | IEEE transactions on software engineering, 1994-10, Vol.20 (10), p.774-784 |
issn | 0098-5589 1939-3520 |
language | eng |
recordid | cdi_ieee_primary_328994 |
source | IEEE/IET Electronic Library (IEL) |
subjects | Accuracy Costs Data engineering Design engineering Design for experiments Design specifications Experiments Hardware Installations Laboratories Large-scale systems Librarians Libraries Monitoring Prototypes Sampling methods Software development Software industry Software prototyping Software systems Studies Systems development |
title | Prototyping a process monitoring experiment |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T15%3A19%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Prototyping%20a%20process%20monitoring%20experiment&rft.jtitle=IEEE%20transactions%20on%20software%20engineering&rft.au=Bradac,%20M.G.&rft.date=1994-10-01&rft.volume=20&rft.issue=10&rft.spage=774&rft.epage=784&rft.pages=774-784&rft.issn=0098-5589&rft.eissn=1939-3520&rft.coden=IESEDJ&rft_id=info:doi/10.1109/32.328994&rft_dat=%3Cproquest_RIE%3E50988%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=195574168&rft_id=info:pmid/&rft_ieee_id=328994&rfr_iscdi=true |