This application is based upon and claims the benefit of priority from Japanese Patent Application No. 2015-111843, filed on Jun. 2, 2015; the entire contents of which are incorporated herein by reference.
Embodiments described herein relate generally to an information generation system, a method, and a computer program product therefor.
As an assisting tool for software test, a system to visually represent a processing result of software (program) relative to a specific setting condition is utilized. For example, there is a system in which a processing result corresponding to each setting condition is represented by a bar chart or the like when a user inputs the setting condition. Further, there is a device that visually represents a plurality of events (tasks) generated by execution of a program.
According to a system in the related arts, a correspondence relation between a setting condition and a processing result is displayed for each setting condition when a test result is displayed. In other words, in the case of performing tests multiple times by changing the setting conditions, a plurality of charts is created in accordance with the number of times of the tests. Therefore, in the case of comparing a plurality of test results, a user needs to compare the plurality of charts, and it is difficult to correctly grasp changes of the correspondence relation between the setting conditions and the processing results.
The target module is a module to output a processing result relative to a specific setting condition. The target module may be, for example, hardware that executes predetermined calculation processing by one or more integrated circuit(s) (IC), or software (program) that controls one or more processor(s).
As the processing to be performed in the target module, test processing may be assumed, for example. The test processing is processing to acquire information in order to determine whether the target module properly executes processing. A correspondence relation between a setting condition and a processing result is acquired by the t processing. The setting condition is information related to a configuration of the target module, for example. In the case where the target module is hardware, the setting condition may be, for example, the number of cores, the number of memories, an operation frequency of the core, and so on. In the case where the target module is software, the setting condition may be, for example, the number of threads, the number of execution options, and so on. The processing result Is information indicating a result of execution and simulation of the target module. In the case where the target module ft hardware, the processing result may be, for example, an output value (calculation result) by execution or simulation, a power consumption amount, the number of memory accesses, an execution performance value, and so on. In the case where the target module is software, the processing result may be, for example, an output value (calculation result) by execution or simulation, an execution performance value, and so on. A plurality of correspondence relations can be acquired by performing test processing multiple times by changing the setting conditions. A concrete method to perform the test processing is not particularly limited, and it is possible to use a method used in known performance test, function test, and so on. Meanwhile, the processing of the target module is not limited to the test processing, and may be processing of the target module in normal operation, for example. In the following embodiment, the case where the processing of the target module is the test processing will be described.
The information gene ion system 1 includes an acquisition unit 11, a generation unit 12, and a control unit 13.
The acquisition unit 11 acquires a set of records indicating, for each t processing, a correspondence relation between a setting condition and a processing result obtained from a result of the test processing. The set of records will be described in detail later by using, for example,
The generation unit 1 generates, based on the set of records, display information in order to generate a display image to visually represent the correspondence relation for each test processing. The display image will be described in detail later by using, for example,
The control unit 13 controls a display unit such that the display image is displayed based on the display information generated by the generation unit 12. The display unit is, for example, a display of a computer and the like. The control unit 13 can be implemented by using, for example, a CPU, a program to control the same, a logic circuit, and so on.
Note that the hardware configurations illustrated in
Further, in
A program to implement the functions of the information generation system 1 can be provided by being recorded in an installable format file or an executable format file in a computer-readable recording medium such as a CD-ROM, a flexible disk (FD), a CD-R, and a DVD. Further, the program may also be provided by being downloaded to a predetermined computer from a predetermined storage medium connected to the network, or may also be provided to a predetermined information processor by being preliminarily incorporated into the ROM or the like. Also, the program may be formed of a plurality of modules that implements the functions of the above-described acquisition unit 11, generation unit 12, and control unit 13.
Further, the respective functions of the acquisition unit 11, generation unit 12, and control unit 13 may be implemented by a program executed by the CPU 21, may be implemented by operation of the hardware such as an IC, or may be implemented by combination thereof.
The setting conditions 51, and the processing results 55 to 57 are divided by the kinds. For example, there may be a case where a kind of the first setting condition 51 is “the number of cores” and a kind of the second setting condition 52 is “the number of memory”. In this case, a concrete value of the first setting condition 51 (number of cores) is “10” and a concrete value of the second setting condition 52 (number of memories) is “20” in the first record 41. Further, there may be a case where a kind of the first processing result 55 is an “output value”, a kind of the second processing result 56 is a “power consumption amount”, and a kind of the third processing result 57 is “the number of memory accesses”. In this case, a concrete value of the first processing result 55 (output value) is “1”, a concrete value of the second processing result 56 (power consumption amount) is “40”, and a concrete value of the third processing result 57 (number of accesses) is “10” in the first record 41. Note that the concrete values are not limited to numerical values, and may be characters, signs, and so on.
In the first area 62, the first setting condition axis 71 and the second setting condition axis 72 are displayed. The first setting condition axis 71 corresponds to the first setting condition 51 illustrated in
In the second area 63, a first processing result ax a second processing result axis 76, and a third processing result axis 77 are displayed. The first processing result axis 75 corresponds to the first processing result illustrated in
Note that the above plot points 81A to 87D are examples of the value objects indicating the respective concrete values. As far as the respective concrete values can be appropriately represented, images of various kinds of forms can be used instead of the plot points 81A to 87D.
According to the display image 61 according to present example, four connection lines (relation objects) 91A, 91B, 91C, 91D corresponding to the respective records 41 to 44 illustrated in
Step S102 described above is a step to determine display styles of images included in the first area 62 and the second area 63 so as to make these areas identifiable. According to the present example, thicknesses of the lines of the first setting condition axis 71 and second setting condition axis 72 are thicker than thicknesses of the lines of the first processing result axis 75, second processing result axis 76, and third processing result axis 77. For example, the generation unit 12 thus determines the display style in the first area 62 and the display style of the second area 63. The display styles are not limited to the present example, and differentiation can be achieved by line types, colors, brightness, blinking, etc., for example. The processing to determine the display style is not particularly limited, and may be performed based on setting information preliminarily stored in a memory of a computer, or may be performed in accordance with selecting operation by a user, for example.
Referring back to the flowchart in
According to the information generation system 1 of the present embodiment, it is possible to generate the display image 61 that clearly represents, by one graph, the correspondence relations between the setting conditions 51, 52 and the processing results 55 to 57 of the respective records 41 to 44. As a result, even in the case of performing the test processing multiple times by changing the setting conditions, the correspondence relations between the setting conditions and the processing results can be correctly and easily grasped.
In the following, other embodiments will be described with reference to the drawings, but components providing functions and effect same as or equivalent to the above-described first embodiment will be denoted by the same reference signs, and a description therefor may be omitted.
The setting unit 104 sets a selecting condition to make search refinement to at least either one of concrete values of setting conditions 51, 52 and concrete values of processing results 55 to 57. A generation unit 12 generates display information based on a set of records 31 and the selecting condition. The selecting condition may be a condition such as “the concrete value of the second setting condition 52 is 30 or less”, for example. In this case, according to the set of records 31 illustrated in
The setting unit 104 can be implemented by using, for example, a CPU 21, a program to control the same, and a logic circuit, and so on. Setting processing for the selecting condition is supposed to be performed by using an appropriate device included in an adopted hardware configuration, but it is assumed that the setting processing may be performed in following manners: a user inputs a value and the like to an information processing terminal 15, and either the information processing terminal 15 or a server 16 automatically executes setting in accordance with predetermined standards.
Next, display styles in a first area 62 and a second area 63 are determined in the same manner as the first embodiment (S102). The generation unit 12 generates display information based on the display styles of the plot points 81A to 87D and the connection lines 91A to 91D and the display styles in the first area 62 and the second area 63 (S203). Based on the generated display information, a control unit 13 causes a display unit to display a display image in which the display styles determined in Step S202 for the plot points 81A to 87D and the connection lines 91A to 91D are reflected (S104).
According to the present embodiment, it is possible to provide display in which a user can easily grasp only a processing result complying with a condition desired by the user.
A generation unit 12 according to the present embodiment generates display information so as not to display setting condition axes 71, 72 or processing result axes 75 to 77 which satisfy a predetermined condition. The predetermined condition is whether all of plot points 81A to 81D, 82A to 82D, 85A to 85D, 86A to 86D, 87A to 87D displayed on the respective setting condition axes 71, 72 and the processing result axes 75 to 77 are located within a predetermined range. In the display image 111′ illustrated in
According to the present embodiment, a user can appropriately and easily grasp a difference of correspondence relation in each test processing because information not needed to be compared is deleted.
A generation unit 12 according to the present embodiment generates display information so as to integrally display the processing result axes 75 to 77 satisfying a predetermined condition. The predetermined condition is whether all of connection lines 91A to 91D displayed between the adjacent two processing result axes 75 to 77 intersect or not. According to the display image 121 illustrated in
According to the present embodiment, a user can appropriately and easily grasp a main portion of a test processing result because a change of a concrete value not affecting a general situation is excluded or representation can be provided in a simplified manner.
In this hind of graph form also, effects same as other embodiments described above can be achieved.
While certain embodiments have been described, these embodiments have been presented by way of example only, and are not intended to limit the scope of the inventions. Indeed, the novel embodiments described herein may be embodied in a variety of other forms; furthermore, various omissions, substitutions and changes in the form of the embodiments described herein may be made without departing from the spirit of the inventions. The accompanying claims and their equivalents are intended to cover such forms or modifications as would fall within the scope and spirit of the inventions.
Number | Date | Country | Kind |
---|---|---|---|
2015-111843 | Jun 2015 | JP | national |
Number | Name | Date | Kind |
---|---|---|---|
4823272 | Inselberg | Apr 1989 | A |
5257345 | Malm | Oct 1993 | A |
5450326 | Black | Sep 1995 | A |
5546516 | Austel | Aug 1996 | A |
5781906 | Aggarwal | Jul 1998 | A |
5917500 | Johnson | Jun 1999 | A |
6006225 | Bowman | Dec 1999 | A |
6032145 | Beall | Feb 2000 | A |
6470352 | Yaginuma | Oct 2002 | B2 |
6477538 | Yaginuma | Nov 2002 | B2 |
6484162 | Edlund | Nov 2002 | B1 |
6603477 | Tittle | Aug 2003 | B1 |
6671680 | Iwamoto | Dec 2003 | B1 |
6707454 | Barg | Mar 2004 | B1 |
6750864 | Anwar | Jun 2004 | B1 |
6857877 | Watanabe | Feb 2005 | B1 |
6879325 | Brooks | Apr 2005 | B1 |
6996536 | Cofino | Feb 2006 | B1 |
7174342 | Scheurich | Feb 2007 | B1 |
7266510 | Cofino | Sep 2007 | B1 |
7283664 | Magee | Oct 2007 | B2 |
7574454 | Lee | Aug 2009 | B2 |
7672924 | Scheurich | Mar 2010 | B1 |
7698686 | Carroll | Apr 2010 | B2 |
7957932 | Antanies | Jun 2011 | B1 |
8132101 | Buck | Mar 2012 | B2 |
8195426 | Antanies | Jun 2012 | B1 |
8346682 | Steed | Jan 2013 | B2 |
8396834 | Bahadori | Mar 2013 | B2 |
8487930 | Navratil | Jul 2013 | B2 |
8973141 | Rowland | Mar 2015 | B2 |
9037273 | Mikkelsen | May 2015 | B2 |
9153051 | Kumar Kn | Oct 2015 | B2 |
9418455 | Wong | Aug 2016 | B1 |
9472002 | Wong | Oct 2016 | B1 |
9754394 | Matsuo | Sep 2017 | B2 |
9779147 | Sherman | Oct 2017 | B1 |
9785328 | Slawinski | Oct 2017 | B2 |
9791853 | Nishimura | Oct 2017 | B2 |
9792706 | Kuroda | Oct 2017 | B2 |
9804726 | Joos | Oct 2017 | B1 |
9811927 | Rowland | Nov 2017 | B2 |
9881066 | Yousaf | Jan 2018 | B1 |
9922435 | Nishimura | Mar 2018 | B2 |
10110687 | Bahadori | Oct 2018 | B2 |
10115108 | Gendelev | Oct 2018 | B1 |
10459938 | Agnew | Oct 2019 | B1 |
10459939 | Agnew | Oct 2019 | B1 |
10510117 | Romo | Dec 2019 | B1 |
20010049678 | Yaginuma | Dec 2001 | A1 |
20030128212 | Pitkow | Jul 2003 | A1 |
20040111679 | Subasic | Jun 2004 | A1 |
20040122601 | Shetty | Jun 2004 | A1 |
20040148578 | McConaghy | Jul 2004 | A1 |
20040267770 | Lee | Dec 2004 | A1 |
20050162423 | Goggin | Jul 2005 | A1 |
20060061572 | Phelan | Mar 2006 | A1 |
20070005582 | Navratil | Jan 2007 | A1 |
20070211057 | Navratil | Sep 2007 | A1 |
20080022239 | McConaghy | Jan 2008 | A1 |
20090024411 | Albro | Jan 2009 | A1 |
20090027395 | Chuang | Jan 2009 | A1 |
20090033664 | Hao | Feb 2009 | A1 |
20100030734 | Chunilal | Feb 2010 | A1 |
20100049733 | Hill | Feb 2010 | A1 |
20100188427 | Chuang | Jul 2010 | A1 |
20100191678 | Steed | Jul 2010 | A1 |
20110025717 | Gilmore | Feb 2011 | A1 |
20110077958 | Breitenstein | Mar 2011 | A1 |
20110087476 | Calvert | Apr 2011 | A1 |
20120041576 | Mikkelsen | Feb 2012 | A1 |
20120278321 | Traub | Nov 2012 | A1 |
20130041922 | Lewak | Feb 2013 | A1 |
20130076752 | Matsumoto | Mar 2013 | A1 |
20130124542 | Lee | May 2013 | A1 |
20130144899 | Lee | Jun 2013 | A1 |
20130169646 | Yokobori | Jul 2013 | A1 |
20130187923 | Yoshimoto | Jul 2013 | A1 |
20130198170 | Akita | Aug 2013 | A1 |
20130198212 | Akita | Aug 2013 | A1 |
20130300743 | Degrell | Nov 2013 | A1 |
20130325916 | Pitts | Dec 2013 | A1 |
20140022256 | Carnes | Jan 2014 | A1 |
20140028682 | Omiya | Jan 2014 | A1 |
20140055459 | Hiramatsu | Feb 2014 | A1 |
20140092094 | Itoh | Apr 2014 | A1 |
20140176555 | Kuo | Jun 2014 | A1 |
20140188899 | Whitnah | Jul 2014 | A1 |
20140247267 | Kumar Kn | Sep 2014 | A1 |
20140282871 | Rowland | Sep 2014 | A1 |
20150007079 | Hansen | Jan 2015 | A1 |
20150022528 | Tojo | Jan 2015 | A1 |
20150026153 | Gupta | Jan 2015 | A1 |
20150077428 | Stevens | Mar 2015 | A1 |
20150097840 | Nishimura | Apr 2015 | A1 |
20150153730 | Nishimura | Jun 2015 | A1 |
20150161338 | Scherrer | Jun 2015 | A1 |
20150170384 | Matsumoto | Jun 2015 | A1 |
20150199420 | Hansen | Jul 2015 | A1 |
20150287225 | Rowland | Oct 2015 | A1 |
20150301108 | Hamid | Oct 2015 | A1 |
20150346972 | Boekling | Dec 2015 | A1 |
20150371418 | Laycock | Dec 2015 | A1 |
20160012154 | Ikejima | Jan 2016 | A1 |
20160012620 | Kanada | Jan 2016 | A1 |
20160012621 | Kanada | Jan 2016 | A1 |
20160018961 | Williams | Jan 2016 | A1 |
20160021727 | Nagai | Jan 2016 | A1 |
20160071021 | Raymond | Mar 2016 | A1 |
20160092530 | Jakubiak | Mar 2016 | A1 |
20160098173 | Slawinski | Apr 2016 | A1 |
20160103872 | Prophete | Apr 2016 | A1 |
20160124587 | Covington | May 2016 | A1 |
20160124821 | Klein | May 2016 | A1 |
20160162583 | Maddocks | Jun 2016 | A1 |
20160210337 | Constandt | Jul 2016 | A1 |
20160210765 | Nishimura | Jul 2016 | A1 |
20160224618 | Robichaud | Aug 2016 | A1 |
20160231900 | Meaney | Aug 2016 | A1 |
20160249031 | Nakamura | Aug 2016 | A1 |
20160253828 | Nishimura | Sep 2016 | A1 |
20160284109 | Nishimura | Sep 2016 | A1 |
20160306806 | Fackler | Oct 2016 | A1 |
20160321398 | Majumdar | Nov 2016 | A1 |
20160358351 | Matejka | Dec 2016 | A1 |
20160359701 | Pang | Dec 2016 | A1 |
20170014090 | Tsugo | Jan 2017 | A1 |
20170032017 | Morinaga | Feb 2017 | A1 |
20170039244 | Gauthier | Feb 2017 | A1 |
20170049314 | Nakagawa | Feb 2017 | A1 |
20170115862 | Stratton | Apr 2017 | A1 |
20170124273 | Huang | May 2017 | A1 |
20170148195 | Bak | May 2017 | A1 |
20170148196 | Muraoka | May 2017 | A1 |
20170177201 | Disdero | Jun 2017 | A1 |
20170200294 | Hirano | Jul 2017 | A1 |
20170236314 | Ruble | Aug 2017 | A1 |
20170262506 | Sharma | Sep 2017 | A1 |
20170288989 | Sinha | Oct 2017 | A1 |
20170300346 | Motohashi | Oct 2017 | A1 |
20180025116 | Carrington | Jan 2018 | A1 |
20180032570 | Miller | Feb 2018 | A1 |
20180046935 | Amershi | Feb 2018 | A1 |
20180060469 | Morgan | Mar 2018 | A1 |
20180064403 | Konta | Mar 2018 | A1 |
20180081951 | Kuroda | Mar 2018 | A1 |
20180101294 | Kuroda | Apr 2018 | A1 |
20180144534 | Lee | May 2018 | A1 |
20180181984 | Sato | Jun 2018 | A1 |
20180191988 | Takahashi | Jul 2018 | A1 |
20180253874 | Nomamoto | Sep 2018 | A1 |
20180268580 | Nomamoto | Sep 2018 | A1 |
20180309794 | Eskridge | Oct 2018 | A1 |
20180350000 | Asllan | Dec 2018 | A1 |
20180365871 | Nahman | Dec 2018 | A1 |
20190012553 | Maruchi | Jan 2019 | A1 |
20190026926 | Crespo-Diaz | Jan 2019 | A1 |
20190026928 | Fainshtein | Jan 2019 | A1 |
20190214131 | Bak | Jul 2019 | A1 |
20190318516 | Tanaka | Oct 2019 | A1 |
20200111018 | Golovin | Apr 2020 | A1 |
20200167691 | Golovin | May 2020 | A1 |
20200184692 | Yang | Jun 2020 | A1 |
Number | Date | Country |
---|---|---|
11-15895 | Jan 1999 | JP |
2004-532489 | Oct 2004 | JP |
2006-236280 | Sep 2006 | JP |
Entry |
---|
“Test Link Open Source Test Management”, TestLink Stable (1.9.13—Stormbringer—Feb. 7, 2015), http://testlink.org/, Aug. 14, 2015, 1 Page. |
“TestLink” (http://sourceforge.net/p/testlink/wiki/Home/) downloaded 2019. |
Number | Date | Country | |
---|---|---|---|
20160358352 A1 | Dec 2016 | US |