5IF)JEEFO$PTUPG&TUJNBUFTCZ$ISJT-VDJBO $03$0%%5&$51-ɹ w $PTUPGUIF3VMFͷ๏ଇͷίετ ػೳͷ̔̌ˋίΞϢʔβʔʹͱͬͯ༗༻Ͱͳ͍ w $PTUPG%FMBZԆίετ ඞཁͳػೳ͕σϦόϦ͞Ε͍ͯͳ͍ظؒʹൃੜ͢Δଛࣦ w %FTJHO5SBEFP⒎TઃܭτϨʔυΦϑ ࣭Λ٘ਜ਼ʹͯ͠ɺࢢೖͷ࣌ظΛૣΊͨ߹ͷظίετ w &TUJNBUJPO$SFBUJPO5JNFݟੵΓ࡞࣌ؒ ݟੵΓͷͨΊʹඅͨ࣌ؒ͠ w 5IF$PTUPG1BSLJOTPOT-BXύʔΩϯιϯͷ๏ଇͷίετ ظݶ͍ͬͺ͍·ͰࣄΛுͤͯ͞͠·͏ ༏ઌॱҐ͚ ʢՁݟੵΓʣͷ Խ ͕Ҿ͖ى͜͢
It is significant to me that much of why we do estimates is that we need to make decisions: To decide something. In other words, it looks to me that what we need are decisions , not estimates. ݟੵΓΛߦ͏ཧ༝ͷେ෦ɺ ͳʹ͔ܾఆΛԼ͢ඞཁ͕͋Δͱ͍͏͜ͱͩɻ ݴ͍͑Δͱɺ ඞཁͳͷݟੵΓͰͳ͘ɺҙࢥܾఆͰ͋Δ Α͏ʹࢥΘΕΔɻ 8PPEZ;VJMM8IZEPXFOFFEFTUJNBUFT
w 1#*ͷαΠζΛ̍εϓϦϯτʢ̍8FFLʣҎʹίϯτϩʔϧ͢Δ w %FpOJUJPOPG3FBEZɻۙ̎ʙ̏εϓϦϯτҎʹೖ͢ΔՄೳੑͷ͋Δ1#*શͯʹద༻ w ʮαΠζ͕̍εϓϦϯτҎԼͰ͋Δʯ͜ͱʹ։ൃνʔϜ10Ͱ߹ҙ͢Δ w ֶͼ͕ಘΒΕΔఔʹখ͗ͣ͢͞ɺؒҧ͍ͬͯͯμϝʔδ͕ઙ͍Α͏େ͖͗͢ͳ͍αΠζ w εϓϦϯτʹೖ͢Δ1#*ͯ͢ظؒ8FFLʢ࠷খ୯Ґʣͱͯ͠ѻ͏ w ̍εϓϦϯτɻ͜ΕҎԼͷޡࠩΛແࢹ͢Δ w 1#*ؒʹґଘ͕Ͱ͖Δ͜ͱΛڐ༰͠ɺαΠζΛԼ͛Δ͜ͱΛ༏ઌ͢Δ w ͨͩ͠୯ମͰֶͼ͕ಘΒΕΔΑ͏όʔςΟΧϧʢػೳ͝ͱʣεϥΠεࢮक w FH৽ػೳΛ࣮͢Δલʹɺಛఆͷۀछ͚ͷσϞ w ͜Ε͕͍͠ αΠζΛίϯτϩʔϧ͢Δ͜ͱͰɺݟੵΓʹࣈͷมΛߦΘͣظؒΛऔΓग़͢ %VSBUJPO1#*ͷαΠδϯάʢׂʣݟੵΓͷସ
w 1#*Ͱͳ͘ɺεϓϦϯτΰʔϧʹίϛοτ͢Δ ྫɿʮࠓि999ϑΥʔϚοτͰ৴͕Ͱ͖ΔΑ͏ʹ͢Δʯ w 1#*ͷฏۉνϟϨϯδϯάʹબ͢Δ w ඪΛߴ࣋ͭ͘ w ͨͩ͠ɺશ࣮ͯߦ͢Δ͜ͱʹͩ͜ΘΒͳ͍ w ʢεϧʔϓοτ͕ਖ਼نʹै͏ͱԾఆͰ͖Δ߹ʣεϧʔϓοτͷฏۉΛϕϩγςΟʹ ͏ͱɺͷ֬ͰͦΕΛԼճΔ εϓϦϯτϓϥϯχϯάʢୈҰ෦ʣίϛοτϝϯτ εϓϦϯτΰʔϧ
w ։ൃνʔϜ͕બͨ͠1#*ͷλεΫચ͍ग़͠Λߦ͏ w 1#*ͱಉ༷ɺ4#*ͷݟੵΓΛߦΘͣɺαΠδϯάͰίϯτϩʔϧ͢Δ w λεΫͷେ͖͞ҰΑΓখ͍͞ɺʹ։ൃνʔϜ͕߹ҙ͍ͯ͠Δ w ҰҎԼͷޡࠩແࢹ͢Δ w ڍ͛ΒΕͨλεΫͰɺਐΊํɺํͷେ·͔ͳ߹ҙΛऔΔ w ͋ͱϞϒϓϩͰ࣮ࡍʹ࡞Γͳ͕ΒҙݟΛूΊΔ w σϧϑΝΠ๏͕ৗʹߦΘΕ͓ͯΓɺϓϥϯχϯάϙʔΧʔʹΑΔใͷநग़͕ෆཁ εϓϦϯτϓϥϯχϯάʢୈೋ෦ʣΩϟύγςΟ ΩϟύγςΟͷܭࢉ4#*ͷεϧʔϓοτ αΠδϯάʜݟੵΓͷସ̎
ಉ͜͡ͱΛ ಉ࣌ʹ ಉ͡ॴͰ ಉ͡ίϯϐϡʔλʔͰʜ On the same thing... At the same time... In the same place... On the same computer... —Mob Programming A Whole Team Approach" / Agile 2014, Woody Zuill ϞϒϓϩάϥϛϯάϞϒϓϩ
6OEFSTUBOEJOH$ZDMF5JNF%JTUSJCVUJPO4IBQFT5SPZ.BHFOOJTʹΑΔͱɺ w ґଘʹΑͬͯαΠΫϧλΠϜͷܗ͕ҟͳΔͱ͍͏Ծઆ͕͋Δ w ґଘ͕খ͍͞ɺ͋Δ͍ͳ͍߹ɺ։ൃ͕࣌ؒࢧతʹͳΔͨΊɺࠨଆʹϐʔΫ͕དྷΔ ϞϒϓϩͱϦʔυλΠϜ҆ఆੑ Teams with few (or no) external dependencies ґଘ͕গͳ͍ɺ͋Δ͍ແ͍νʔϜ Tams who limit WIP (eg. kanban teams) WIP੍ݶ͕͋ΔνʔϜʢeg. Kanbanʣ Teams who do batch iterations (eg. Scrum teams) όον݁߹νʔϜʢeg. εΫϥϜʣ Teams who do large batches (waterfall) ڊେͳόον݁߹νʔϜʢeg.ΥʔλʔϑΥʔϧʣ
w ʮ͜ͷλεΫʹඞཁͳ࠷ݶͷ࡞ۀͰਐΊΔʯ͜ͱʹνʔϜશһ͕߹ҙ w ʮίʔυͷ࣭ʯΛอͭͨΊʹඞཁͳཁૉʹ߹ҙ 65ϦϑΝΫλɺ໋໊ن w ࣌ؒΛຒΊͯ͠·͏ʮͩ͜ΘΓϙΠϯτʯਓʹΑͬͯҧ͏ FHʮͬͱ͜Μͳॻ͖ํͷ΄͏͕ؔܕΆ͍ʜʯ FHʮͬͺ͜ͷϝιουͬͪ͜ͷΫϥεͷ΄͏͕ྑ͔͔ͬͨʜʯ w νʔϜશһͷ߹ҙͰਐΜͰ͍ΔͷͰɺ໎͍͕গͳ͍ ϞϒϓϩͱύʔΩϯιϯͷ๏ଇ ෳͷʹΑΔ:"(/* ৗʹλεΫͷαΠζΛ࠷খʹ͑Α͏ͱ͢Δྗ͕ಇ͘
w ΧϯόϯͷΈͷӡ༻ʹͳͬͨͱ͖ݟੵΓΛ͠ͳ͘ͳͬͨ ݟੵΓ͕ػೳ͍ͯ͠ͳ͍͜ͱʹΈΜͳؾ͕͍ͭͨ w ͔ΘΓʹɺʮ1#*ͷαΠζΛͳΔ͘খ͘͢͞Δʯ͜ͱΛ࢝Ίͨ w ͍͍͍ͩͨͭࠒͰ͖ͦ͏͔ɺ͕ϦΞϧλΠϜͰΘ͔ΔΑ͏ʹ w ʮ࣍ʹΔ͜ͱʯͷॱ൪ɺʮࠓ͍ͬͯΔ͜ͱʯͷϦετ͕ެ։͞Εͨ ඞཁͳͷݟੵΓͰͳ͘ɺ͜ͷใͩͬͨ ্࢘Λר͖ࠐΉʙΧϯόϯͷಋೖ Ί͔ͯΒҰݟੵΓΛٻΊΒΕͨ͜ͱͳ͍
w ϨτϩεϖΫςΟϒ νʔϜશମΛר͖ࠐΉͨΊɺ·ͣ͜ΕΛ࣮ࢪͨ͠ w εϓϦϯτϓϥϯχϯά ࠓिͳʹ͕Ͱ͖Δ͔ʢԿΛग़ͯ͠΄͍͔͠ʣʁͷಉظ͕ඞཁͩͬͨ w όοΫϩάϦϑΝΠϯϝϯτ ༏ઌॱҐͷܾΊํʹಁ໌ੑ͕ඞཁͩͬͨ w σΠϦʔεΫϥϜ ϞϒϓϩΛ࢝Ί͔ͯΒɺͦͷͷ࡞ઓΛཱͯΔͨΊࣗવͱ࢝·ͬͨ w ϨϏϡʔ ࣗવͱɺඞཁͳਓʹϑΟʔυόοΫΛ͍ʹߦ͘Α͏ʹ ϏδωεΛר͖ࠐΉʙͦͯ͠εΫϥϜ ໘ͨ͠՝ʹରԠ͢ΔͨΊɺεΫϥϜΠϕϯτΛঃʑʹ࣮
։ൃνʔϜ w νʔϜ͕͋Δఔख़͍ͯ͠Δ ػೳԣஅνʔϜͰ͋ΓɺΠϯΫϦϝϯπΛ࡞͢ΔͷʹඞཁͳٕೳΛඋ͍͑ͯΔ ࣗݾ৫Խ͞ΕɺࣗͨͪͰεϓϦϯτʹೖՄೳͳ1#*
4#*ͷΩϟύΛஅͰ͖Δ w ࣄΛ͢͢ΊΒΕΔεϐʔυͷ࣮͕͋Γɺ҆ఆ͍ͯ͠Δ w 1#*
4#*ͷׂʢόʔςΟΧϧεϥΠεʣαΠδϯά͕͏·͘Ͱ͖Δ w ্͔࢘Β৴པ͞ΕɺݖݶΛҕৡͯ͠Β͑Δ ࣮Ұ൪େࣄ͔ ͘ଓ͍͍ͯΔνʔϜͷ΄͏ཱ͕ͦ͢͠͏
w ೲظۦಈͰͳ͘ɺػೳσϦόϦۦಈ ೲظۦಈͰɺείʔϓͷมߋʹཧղ͕͋ΕՄೳ͔͠Εͳ͍ w Ϗδωεͱ։ൃͷؒʹ৴པ͕ؔ͋ΔʢϏδωεΛר͖ࠐΊΔʣ νʔϜͷ͍͔ٙΒݫ͍͠ೲظͷίϛοτΛٻΊΒΕΔ͜ͱ͕ͳ͍ όοΫϩάϦϑΝΠϯϝϯτͳͲɺඞཁͳΠϕϯτʹڠྗͯ͘͠ΕΔ ॳظ্ཱͪ͛ϑΣʔζӡ༻άϩʔεϑΣʔζ ϓϩμΫτϏδωεͱͷؔ
w ظઢͷ1#*͕࣮ߦ͞ΕͮΒ͘ͳ͘ͳͬͨ ٕज़తෛ࠴ͷฦ٫ɺෆศͷվળɺେہతͳݚڀ։ൃ w ۙʹṶ͔Γͦ͏ɺΈ͍ͨͳ1#*͕༏ઌߴ͘ͳΓ͕ͪ w ਅ໖ͰटΛߜΊΒΕΔΑ͏ͳײ֮ʹ $%Λಋೖͯ͠ɺʮશͯͷ1#*ΛۚમՁͰൺΒΕͯ࠷ߴʯ ʮ͜Ε͕Ұ൪Ṷ͔Δॱ൪ʯͱࢥ͍͕ͬͯͨ ۙࢹ؟తɿதظతͳࢹͷܽ 30*ΛΊͨฐɻݟੵΓ͋Μ·Γؔͳ͍
Thank You for Your Kind Attention! UXJUUFS!NBSUJO@MPWFS@TF Thank you for English proof reading! Arnab Gupta, Hideaki Oshima,ɹ Cherifa Mansoura Thank you for meaningful feedback! Koichi Yoshida, Nobuaki Miura, Hiroki Konishi, Minoru Yokomichi
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