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getting to flow in
software development
Gail C. Murphy



University of British Columbia

Tasktop Technologies Incorporated
“software is
eating the
world”
Marc Andreesen
premise

…
lots of software to build
should be fun to build it
hypothesis
…
tools and interfaces
that support flow
enable building 



more software 

with more fun
what is flow?
Mihaly Csikszentmihalyi

single-minded immersion



clear set of goals and progress

clear and immediate feedback

balance of challenges to skills
21.9%50.4%53.2%
complete tasks
or goals
getting into a
“flow” without
many “context
switches” and no
or few
interruptions
and distractions
no meetings
top 3 reasons for

productive day (379 devs)
[Meyer, Fritz, Murphy & Zimmermann, under submission]
Actvities and Task Switches (Session 1)
Time [minutes]
Subject
0 30 60 90 120 150 180
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Dev:VC
Dev:Debug
Dev:Code
Dev:Review
Dev:TestApp
Dev:Other
BrowsingRel
BrowsingUnrel
MeetInformal
MeetPlanned
Email
Planning
ReadWriteDoc
Other
constant switching
[Meyer, Fritz, Murphy & Zimmermann, under submission]
ok?
development tools and
interfaces already do a great job
at supporting flow
jHotDraw
add code
in
several
places
bug
mismatch #1

flat information space

mismatch #2

multiple disconnected information
mismatch #3: information overload
mismatch #4: clickitis over cognition
mismatches
#1: flat information space
#2: multiple disconnected information spaces
#3: information overload
#4: clickitis over cognition
goal
an example of
how it could be
approaches and tools that
address the mismatches
[Ko and Myers, 2008]
techniques for

improved flow
• task context
• recommendations
• dialog
• summarization
technique #1 of 4:

task context
• parts and relationships
of artifacts relevant to
developer as they work
on a task
• different
approximations
• e.g., commits
• e.g., interaction history

(Eclipse Mylyn)
[Kersten & Murphy, 2006]
task context in
Mylyn
tasks
[Kersten & Murphy, 2006]
if we have task context…
• have a mapping between “intent” and parts of artifacts
• can use as a concept mapping
• can use as basis for recommending artifacts to look at
• could use to analyze defects based on ‘intent”
• reduce information space shown to the developer
• share work
achieving flow with task
context…
• capture without requiring work on the part of the
developer
• challenge: how to get broader intent?
• challenge: how to get all parts of artefacts worked on or
looked at?
• challenge: how to infer task switches automatically?
technique #2 of 4:

recommendations
• suggest parts of current
or past information
spaces that might be
helpful for current work
• e.g., text similarity on
previously solved bugs
[Čubranić & Murphy 2003]
• e.g., where others have
navigated from a given
point [DeLine et. al. 2005]
recommendations in Hipikat
[Čubranić & Murphy, 2003]
if we have
recommendations…
• can eliminate low-level searching and navigating
• can reduce incorrect paths followed
• can help if developer is stuck
• can provide information a developer might miss
achieving flow with
recommendations…
• challenge: appropriate effective user interface delivery





• challenge: what are sufficient precision and recall for
various tasks
• challenge: explaining recommendations
technique #3 of 4:
dialog
• make units of discourse
between developer and
interface dialog
• task-specific
• e.g., Whyline for
debugging [Ko & Myers 2004
& 2008]
• e.g., Ferret for code
navigation [de Alwis &
Murphy 2008]
Ferret
navigation
Whyline
debugging
if we have dialog…
• can eliminate low-level searching and navigating
• can reduce incorrect paths followed
• may be able to make it easier for broader range of
people to program effectively
achieving flow with dialog…
• challenge: can we make general approaches for broad
task categories?
• challenge: what are appropriate user interaction flows
for dialog?
• challenge: what if a question isn’t presented that needs
to be asked?
technique #4 of 4:
summarization
• present abstracted form
of information
• extractive or
abstractive
• e.g., bugs [Rastkar &
Murphy, 2010, 2013]
• e.g., code [Moreno 2013]
bug summarization
Epic
StoryStory
TaskTask
extracted

summaryuse machine
learning to learn and
extract appropriate
sentences
[Rastkar & Murphy, 2010 &2012]
if we have
summarization…
• developer can make more informed decisions as timely
effective access to information
• can look for similarities and trends at different level of
abstraction
• keep developer focused on task by eliminating
cognitive switches
achieving flow with
summarization
• challenge: what to summarize when?
• challenge: how much intent needs to be known to
summarize effectively?
• challenge: how accurate must a summary be not to be
mis-leading?
interaction for flow
1. flat information space
2. multiple disconnected
information spaces
3. information overload
4. clickitis over cognition
mismatches interaction types
• task context
• recommendation
• dialog
• summarization
what should the
programming tools of
the future look like?
is it enough in research
to produce approaches
that fill information

spaces?
john anvik
elisa baniassad
wesley coelho
davor cubranic
brian de alwis
rob elves
thomas fritz
reid holmes
rahul jiresal
mik kersten
shawn minto
e murphy-hill
jingwen ou
martin robillard
sarah rastkar
nick sawadsky
david shepherd
ducky sherwood
annie ying
robert walker
and many others!
Actvities and Task Switches (Session 1)
Time [minutes]
Subject
0 30 60 90 120 150 180
T3
T2
T1
S4
S3
S2
S1
R4
R3
R2
R1
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148 activity switches
27 task switches, 4 distinct tasks
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108 activity switches
16 task switches, 5 distinct tasks
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66 activity switches
25 task switches
4 distinct tasks
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102 activity switches
61 task switches
6 distinct tasks
●
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96 activity switches
28 task switches, 4 distinct tasks
●
●
●
●
●
●
Dev:VC
Dev:Debug
Dev:Code
Dev:Review
Dev:TestApp
Dev:Other
BrowsingRel
BrowsingUnrel
MeetInformal
MeetPlanned
Email
Planning
ReadWriteDoc
Other
software is 

eating the

world
interfaces
need to
support flow
interaction styles that might improve flow
• task context
• recommendation
• dialog
• summarization
what might programming environments look like to make
programming more fun and more inclusive
Gail C. Murphy
@gail_murphy

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Getting to Flow in Software Development (ASWEC 2014 Keynote)

  • 1. getting to flow in software development Gail C. Murphy
 
 University of British Columbia
 Tasktop Technologies Incorporated
  • 3. premise
 … lots of software to build should be fun to build it
  • 4. hypothesis … tools and interfaces that support flow enable building 
 
 more software 
 with more fun
  • 5. what is flow? Mihaly Csikszentmihalyi
 single-minded immersion
 
 clear set of goals and progress
 clear and immediate feedback
 balance of challenges to skills
  • 6. 21.9%50.4%53.2% complete tasks or goals getting into a “flow” without many “context switches” and no or few interruptions and distractions no meetings top 3 reasons for
 productive day (379 devs) [Meyer, Fritz, Murphy & Zimmermann, under submission]
  • 7. Actvities and Task Switches (Session 1) Time [minutes] Subject 0 30 60 90 120 150 180 T3 T2 T1 S4 S3 S2 S1 R4 R3 R2 R1 ● ● ● ● ● ● ●● ●●●● ● ● ● ● ● ● ●●●●● ● ● ●●● ●●● ●● ● 51 activity switches 10 task switches, 3 distinct tasks ● ● ●● ● ●●●● ● ●● ● ● ●● ●● ● ●● ●●● ●●●● ● ● ●● ● ● ● ●●● ● ● ● ●●● ● ●● ● ● ● ● ● ● ● ●● ● ● ● ● ● ●●●● ● ● ●● ● ●●●● ● ● ● ● ● ● ● ● ● ● ● ● ● ●● ●● ● ● ● ● ●● ● ● ● ● ● ●●● ● ● ● ● ● ● ● ●● ● ● ●● ● 166 activity switches 36 task switches, 3 distinct tasks ● ●●●● ● ● ● ●● ●●● ● ● ● ● ● ● ● ● ● ● ●● ● ●● ● ●●● ● ● ● ● ●●● ● ●● ● ● ● ● ● ● ● ● ●●●● ● ● ●●● ● ● ●● ● ● ●●● ●●● ●●● ●●●●● ● ● ●●●●●●●● ● ●●● ● ● ●● ●● ● ●● ● ●● ● ● ● ● ● ● ● ●● ● ●●●● ●●● ● ●● ● ●●●●●● ● ●● ● ●●● ● ● ● 230 activity switches 79 task switches, 4 distinct tasks ●● ●● ● ●● ● ● ●●● ● ●● ●●●●● ●● ●● ● ●●●●● ●● ● ●●●● ● ● ● ● ●● ●● ● ●● ● ● ● 85 activity switches 13 task switches, 4 distinct tasks ● ●● ●● ●● ● ● ● ●●● ●● ●●●● ● ● ● ●●● ● ● ● ● ● ● ● ● ●● ● ● ● ● ● ●● ● ● 59 activity switches 20 task switches, 5 distinct tasks ● ● ●●● ● ● ●●●● ●●● ● ● ● ● ● ● ● ●●● ●●● ● ● ● ● ● 88 activity switches 17 task switches, 5 distinct tasks ● ● ●●● ●●●●●●● ●● ●● ● ●●●● ● ● ● ● ●●●●● ● ● ● ●● ● ● ● ● ●● ●● ●●●●●●● ●● ● ●● ● ● ●●● ● ● ● ● ● ● ● ● ● ●● ● ● ● ● ●● ●● ●●● ●● ● ● ● ● ● ●●● ●● ● ● ● ●●● ● ● 148 activity switches 27 task switches, 4 distinct tasks ● ●●● ●● ●● ● ● ● ● ●● ●●●●● ●●● ●● ● ●●●● ●●● ● ● ● ●●● ● ●● ●● ● 108 activity switches 16 task switches, 5 distinct tasks ● ● ● ● ● ● ●● ● ●● ● ● ●● ● ● ● ● ● ● ● ● ● ● ● ● ● 66 activity switches 25 task switches 4 distinct tasks ● ● ● ● ● ●●● ● ● ● ● ● ●●● ● ● ● ● ● ● ● ● ● ●● ● ● ● ● ● ●● ●● ● ● 102 activity switches 61 task switches 6 distinct tasks ● ● ● ●●● ● ●●●●●●●●●● ● ●● ● ● ● ● ● ● ● ● ●●●●●●● ● ● ●●●●● ●●●● ● ● ● ●●● ● ● ●● ●● ●● 96 activity switches 28 task switches, 4 distinct tasks ● ● ● ● ● ● Dev:VC Dev:Debug Dev:Code Dev:Review Dev:TestApp Dev:Other BrowsingRel BrowsingUnrel MeetInformal MeetPlanned Email Planning ReadWriteDoc Other constant switching [Meyer, Fritz, Murphy & Zimmermann, under submission]
  • 8. ok? development tools and interfaces already do a great job at supporting flow
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 16. bug
  • 17.
  • 21. mismatch #4: clickitis over cognition
  • 22. mismatches #1: flat information space #2: multiple disconnected information spaces #3: information overload #4: clickitis over cognition goal
  • 23. an example of how it could be approaches and tools that address the mismatches
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32. [Ko and Myers, 2008]
  • 33. techniques for
 improved flow • task context • recommendations • dialog • summarization
  • 34. technique #1 of 4:
 task context • parts and relationships of artifacts relevant to developer as they work on a task • different approximations • e.g., commits • e.g., interaction history
 (Eclipse Mylyn) [Kersten & Murphy, 2006]
  • 36.
  • 37. if we have task context… • have a mapping between “intent” and parts of artifacts • can use as a concept mapping • can use as basis for recommending artifacts to look at • could use to analyze defects based on ‘intent” • reduce information space shown to the developer • share work
  • 38. achieving flow with task context… • capture without requiring work on the part of the developer • challenge: how to get broader intent? • challenge: how to get all parts of artefacts worked on or looked at? • challenge: how to infer task switches automatically?
  • 39. technique #2 of 4:
 recommendations • suggest parts of current or past information spaces that might be helpful for current work • e.g., text similarity on previously solved bugs [Čubranić & Murphy 2003] • e.g., where others have navigated from a given point [DeLine et. al. 2005]
  • 40.
  • 42. if we have recommendations… • can eliminate low-level searching and navigating • can reduce incorrect paths followed • can help if developer is stuck • can provide information a developer might miss
  • 43. achieving flow with recommendations… • challenge: appropriate effective user interface delivery
 
 
 • challenge: what are sufficient precision and recall for various tasks • challenge: explaining recommendations
  • 44. technique #3 of 4: dialog • make units of discourse between developer and interface dialog • task-specific • e.g., Whyline for debugging [Ko & Myers 2004 & 2008] • e.g., Ferret for code navigation [de Alwis & Murphy 2008]
  • 46. if we have dialog… • can eliminate low-level searching and navigating • can reduce incorrect paths followed • may be able to make it easier for broader range of people to program effectively
  • 47. achieving flow with dialog… • challenge: can we make general approaches for broad task categories? • challenge: what are appropriate user interaction flows for dialog? • challenge: what if a question isn’t presented that needs to be asked?
  • 48. technique #4 of 4: summarization • present abstracted form of information • extractive or abstractive • e.g., bugs [Rastkar & Murphy, 2010, 2013] • e.g., code [Moreno 2013]
  • 49.
  • 50. bug summarization Epic StoryStory TaskTask extracted
 summaryuse machine learning to learn and extract appropriate sentences [Rastkar & Murphy, 2010 &2012]
  • 51. if we have summarization… • developer can make more informed decisions as timely effective access to information • can look for similarities and trends at different level of abstraction • keep developer focused on task by eliminating cognitive switches
  • 52. achieving flow with summarization • challenge: what to summarize when? • challenge: how much intent needs to be known to summarize effectively? • challenge: how accurate must a summary be not to be mis-leading?
  • 53. interaction for flow 1. flat information space 2. multiple disconnected information spaces 3. information overload 4. clickitis over cognition mismatches interaction types • task context • recommendation • dialog • summarization
  • 54. what should the programming tools of the future look like? is it enough in research to produce approaches that fill information
 spaces?
  • 55. john anvik elisa baniassad wesley coelho davor cubranic brian de alwis rob elves thomas fritz reid holmes rahul jiresal mik kersten shawn minto e murphy-hill jingwen ou martin robillard sarah rastkar nick sawadsky david shepherd ducky sherwood annie ying robert walker and many others!
  • 56. Actvities and Task Switches (Session 1) Time [minutes] Subject 0 30 60 90 120 150 180 T3 T2 T1 S4 S3 S2 S1 R4 R3 R2 R1 ● ● ● ● ● ● ●● ●●●● ● ● ● ● ● ● ●●●●● ● ● ●●● ●●● ●● ● 51 activity switches 10 task switches, 3 distinct tasks ● ● ●● ● ●●●● ● ●● ● ● ●● ●● ● ●● ●●● ●●●● ● ● ●● ● ● ● ●●● ● ● ● ●●● ● ●● ● ● ● ● ● ● ● ●● ● ● ● ● ● ●●●● ● ● ●● ● ●●●● ● ● ● ● ● ● ● ● ● ● ● ● ● ●● ●● ● ● ● ● ●● ● ● ● ● ● ●●● ● ● ● ● ● ● ● ●● ● ● ●● ● 166 activity switches 36 task switches, 3 distinct tasks ● ●●●● ● ● ● ●● ●●● ● ● ● ● ● ● ● ● ● ● ●● ● ●● ● ●●● ● ● ● ● ●●● ● ●● ● ● ● ● ● ● ● ● ●●●● ● ● ●●● ● ● ●● ● ● ●●● ●●● ●●● ●●●●● ● ● ●●●●●●●● ● ●●● ● ● ●●●● ● ●● ● ●● ● ● ● ● ● ● ● ●● ● ●●●● ●●● ● ●● ● ●●●●●● ● ●● ● ●●● ● ● ● 230 activity switches 79 task switches, 4 distinct tasks ●● ●● ● ●● ● ● ●●● ● ●● ●●●●● ●● ●● ● ●●●●● ●● ● ●●●● ● ● ● ● ●● ●● ● ●● ● ● ● 85 activity switches 13 task switches, 4 distinct tasks ● ●● ●● ●● ● ● ● ●●● ●● ●●●● ● ● ● ●●● ● ● ● ● ● ● ● ●●● ● ● ● ● ● ●● ● ● 59 activity switches 20 task switches, 5 distinct tasks ● ● ●●● ● ● ●●●● ●●● ● ● ● ● ● ● ● ●●● ●●● ● ● ● ● ● 88 activity switches 17 task switches, 5 distinct tasks ● ● ●●● ●●●●●●● ●● ●● ● ●●●● ● ● ● ● ●●●●● ● ● ● ●● ● ● ● ● ●● ●● ●●●●●●● ●● ● ●● ● ● ●●● ● ● ● ● ● ● ● ● ● ●● ● ● ● ● ●● ●● ●●● ●● ● ● ● ● ● ●●● ●● ● ● ● ●●● ● ● 148 activity switches 27 task switches, 4 distinct tasks ● ●●●●● ●● ● ● ● ● ●● ●●●●● ●●● ●● ● ●●●● ●●● ● ● ● ●●● ● ●● ●● ● 108 activity switches 16 task switches, 5 distinct tasks ● ● ● ● ● ● ●● ● ●● ● ● ●● ● ● ● ● ● ● ● ● ● ● ● ● ● 66 activity switches 25 task switches 4 distinct tasks ● ● ● ●● ●●● ● ● ● ● ● ●●● ● ● ● ● ● ● ● ● ● ●● ● ● ● ● ● ●● ●● ● ● 102 activity switches 61 task switches 6 distinct tasks ● ● ● ●●● ● ●●●●●●●●●● ● ●● ● ● ● ● ● ● ● ● ●●●●●●● ● ● ●●●●● ●●●● ● ● ● ●●● ● ● ●● ●● ●● 96 activity switches 28 task switches, 4 distinct tasks ● ● ● ● ● ● Dev:VC Dev:Debug Dev:Code Dev:Review Dev:TestApp Dev:Other BrowsingRel BrowsingUnrel MeetInformal MeetPlanned Email Planning ReadWriteDoc Other software is 
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 world interfaces need to support flow interaction styles that might improve flow • task context • recommendation • dialog • summarization what might programming environments look like to make programming more fun and more inclusive Gail C. Murphy @gail_murphy