import metrics_base
import mclasses_metrics
+import mmodules_metrics
import modelize
redef class ToolContext
+ # Compute MENDEL metrics.
+ #
+ # See `mendel_metrics` module documentation.
var mendel_metrics_phase: Phase = new MendelMetricsPhase(self, null)
end
metrics.collect(mclasses)
if csv then metrics.to_csv.save("{out}/mendel.csv")
- print toolcontext.format_h4("\tlarge mclasses (threshold: {cnblp.threshold})")
- for mclass in cnblp.above_threshold do
- print toolcontext.format_p("\t {mclass.name}: {cnblp.values[mclass]}")
+ var threshold = cnblp.threshold
+ print toolcontext.format_h4("\tlarge mclasses (threshold: {threshold})")
+ for mclass in cnblp.sort do
+ var val = cnblp.values[mclass]
+ if val.to_f < threshold then break
+ print toolcontext.format_p("\t {mclass.name}: {val}")
end
- print toolcontext.format_h4("\tbudding mclasses (threshold: {cnvi.threshold})")
- for mclass in cnvi.above_threshold do
- print toolcontext.format_p("\t {mclass.name}: {cnvi.values[mclass]}")
+ threshold = cnvi.threshold
+ print toolcontext.format_h4("\tbudding mclasses (threshold: {threshold})")
+ for mclass in cnvi.sort do
+ var val = cnvi.values[mclass]
+ if val.to_f < threshold then break
+ print toolcontext.format_p("\t {mclass.name}: {val}")
end
- print toolcontext.format_h4("\tblooming mclasses (threshold: {cnvs.threshold})")
- for mclass in cnvs.above_threshold do
- print toolcontext.format_p("\t {mclass.name}: {cnvs.values[mclass]}")
- end
-
- print toolcontext.format_h4("\tblooming mclasses (threshold: {cnvs.threshold})")
- for mclass in cnvs.above_threshold do
- print toolcontext.format_p("\t {mclass.name}: {cnvs.values[mclass]}")
+ threshold = cnvs.threshold
+ print toolcontext.format_h4("\tblooming mclasses (threshold: {threshold})")
+ for mclass in cnvs.sort do
+ var val = cnvs.values[mclass]
+ if val.to_f < threshold then break
+ print toolcontext.format_p("\t {mclass.name}: {val}")
end
if csv then
redef fun name do return "cbms"
redef fun desc do return "branch mean size, mean number of introduction available among ancestors"
+ # Mainmodule used to compute class hierarchy.
var mainmodule: MModule
- init(mainmodule: MModule) do self.mainmodule = mainmodule
redef fun collect(mclasses) do
for mclass in mclasses do
- var totc = mclass.all_mproperties(mainmodule, protected_visibility).length
+ var totc = mclass.collect_accessible_mproperties(protected_visibility).length
var ditc = mclass.in_hierarchy(mainmodule).depth
values[mclass] = totc.to_f / (ditc + 1).to_f
end
end
end
+# Module Branch Mean Size
+# mbms(module) = |mclassdefs(module)| / (DIT(module) + 1)
+class MBMS
+ super MModuleMetric
+ super FloatMetric
+ redef fun name do return "mbms"
+ redef fun desc do return "branch mean size, mean number of class definition available among ancestors"
+
+ redef fun collect(mmodules) do
+ for mmodule in mmodules do
+ var totc = mmodule.collect_intro_mclassdefs(protected_visibility).length
+ totc += mmodule.collect_redef_mclassdefs(protected_visibility).length
+ var ditc = mmodule.in_importation.depth
+ values[mmodule] = totc.to_f / (ditc + 1).to_f
+ end
+ end
+end
+
# Class Novelty Index
# cnvi = |LocS(class)| / cbms(parents(class))
class CNVI
redef fun name do return "cnvi"
redef fun desc do return "class novelty index, contribution of the class to its branch in term of introductions"
+ # Mainmodule used to compute class hierarchy.
var mainmodule: MModule
- init(mainmodule: MModule) do self.mainmodule = mainmodule
redef fun collect(mclasses) do
var cbms = new CBMS(mainmodule)
cbms.clear
cbms.collect(new HashSet[MClass].from(parents))
# compute class novelty index
- var locc = mclass.local_mproperties(protected_visibility).length
+ var locc = mclass.collect_accessible_mproperties(protected_visibility).length
values[mclass] = locc.to_f / cbms.avg
else
values[mclass] = 0.0
end
end
+# Module Novelty Index
+# mnvi = |LocS(module)| / mbms(parents(module))
+class MNVI
+ super MModuleMetric
+ super FloatMetric
+ redef fun name do return "mnvi"
+ redef fun desc do return "module novelty index, contribution of the module to its branch in term of introductions"
+
+ redef fun collect(mmodules) do
+ var mbms = new MBMS
+ for mmodule in mmodules do
+ # compute branch mean size
+ var parents = mmodule.in_importation.direct_greaters
+ if parents.length > 0 then
+ mbms.clear
+ mbms.collect(new HashSet[MModule].from(parents))
+ # compute module novelty index
+ var locc = mmodule.collect_intro_mclassdefs(protected_visibility).length
+ locc += mmodule.collect_redef_mclassdefs(protected_visibility).length
+ values[mmodule] = locc.to_f / mbms.avg
+ else
+ values[mmodule] = 0.0
+ end
+ end
+ end
+end
+
# Class Novelty Score
# cnvs = |LocS(class)| x nvi
class CNVS
redef fun name do return "cnvs"
redef fun desc do return "class novelty score, importance of the contribution of the class to its branch"
+ # Mainmodule used to compute class hierarchy.
var mainmodule: MModule
- init(mainmodule: MModule) do self.mainmodule = mainmodule
redef fun collect(mclasses) do
var cnvi = new CNVI(mainmodule)
cnvi.collect(mclasses)
for mclass in mclasses do
- var locc = mclass.local_mproperties(protected_visibility).length
+ var locc = mclass.collect_local_mproperties(protected_visibility).length
values[mclass] = cnvi.values[mclass] * locc.to_f
end
end
end
+# Module Novelty Score
+# mnvs = |LocS(module)| x nvi
+class MNVS
+ super MModuleMetric
+ super FloatMetric
+ redef fun name do return "mnvs"
+ redef fun desc do return "module novelty score, importance of the contribution of the module to its branch"
+
+ redef fun collect(mmodules) do
+ var mnvi = new MNVI
+ mnvi.collect(mmodules)
+ for mmodule in mmodules do
+ var locc = mmodule.collect_intro_mclassdefs(protected_visibility).length
+ locc += mmodule.collect_redef_mclassdefs(protected_visibility).length
+ values[mmodule] = mnvi.values[mmodule] * locc.to_f
+ end
+ end
+end
+
redef class MClass
# the set of redefition that call to super
fun extended_mproperties(min_visibility: MVisibility): Set[MProperty] do
# pure overriders contain only redefinitions
private fun is_pure_overrider(min_visibility: MVisibility): Bool do
- var news = intro_mproperties(min_visibility).length
- var locs = local_mproperties(min_visibility).length
+ var news = collect_intro_mproperties(min_visibility).length
+ var locs = collect_local_mproperties(min_visibility).length
if news == 0 and locs > 0 then return true
return false
end
# overriders contain more definitions than introductions
private fun is_overrider(min_visibility: MVisibility): Bool do
- var rdfs = redef_mproperties(min_visibility).length
- var news = intro_mproperties(min_visibility).length
- var locs = local_mproperties(min_visibility).length
+ var rdfs = collect_redef_mproperties(min_visibility).length
+ var news = collect_intro_mproperties(min_visibility).length
+ var locs = collect_local_mproperties(min_visibility).length
if rdfs >= news and locs > 0 then return true
return false
end
# pure extenders contain only introductions
private fun is_pure_extender(min_visibility: MVisibility): Bool do
- var rdfs = redef_mproperties(min_visibility).length
- var locs = local_mproperties(min_visibility).length
+ var rdfs = collect_redef_mproperties(min_visibility).length
+ var locs = collect_local_mproperties(min_visibility).length
if rdfs == 0 and locs > 0 then return true
return false
end
# extenders contain more introduction than redefinitions
private fun is_extender(min_visibility: MVisibility): Bool do
- var rdfs = redef_mproperties(min_visibility).length
- var news = intro_mproperties(min_visibility).length
- var locs = local_mproperties(min_visibility).length
+ var rdfs = collect_redef_mproperties(min_visibility).length
+ var news = collect_intro_mproperties(min_visibility).length
+ var locs = collect_local_mproperties(min_visibility).length
if news > rdfs and locs > 0 then return true
return false
end
# pure specializers always call to super in its redefinitions
private fun is_pure_specializer(min_visibility: MVisibility): Bool do
var ovrs = overriden_mproperties(min_visibility).length
- var rdfs = redef_mproperties(min_visibility).length
+ var rdfs = collect_redef_mproperties(min_visibility).length
if ovrs == 0 and rdfs > 0 then return true
return false
end
private fun is_specializer(min_visibility: MVisibility): Bool do
var spcs = extended_mproperties(min_visibility).length
var ovrs = overriden_mproperties(min_visibility).length
- var rdfs = redef_mproperties(min_visibility).length
+ var rdfs = collect_redef_mproperties(min_visibility).length
if spcs > ovrs and rdfs > 0 then return true
return false
end
# pure replacers never call to super in its redefinitions
private fun is_pure_replacer(min_visibility: MVisibility): Bool do
var spcs = extended_mproperties(min_visibility).length
- var rdfs = redef_mproperties(min_visibility).length
+ var rdfs = collect_redef_mproperties(min_visibility).length
if spcs == 0 and rdfs > 0 then return true
return false
end
private fun is_replacer(min_visibility: MVisibility): Bool do
var spcs = extended_mproperties(min_visibility).length
var ovrs = overriden_mproperties(min_visibility).length
- var rdfs = redef_mproperties(min_visibility).length
+ var rdfs = collect_redef_mproperties(min_visibility).length
if ovrs > spcs and rdfs > 0 then return true
return false
end
private fun is_equal(min_visibility: MVisibility): Bool do
var spcs = extended_mproperties(min_visibility).length
var ovrs = overriden_mproperties(min_visibility).length
- var rdfs = redef_mproperties(min_visibility).length
+ var rdfs = collect_redef_mproperties(min_visibility).length
if spcs == ovrs and rdfs > 0 then return true
return false
end
end
-