{"id":10346,"date":"2026-05-29T17:01:37","date_gmt":"2026-05-29T17:01:37","guid":{"rendered":"https:\/\/mtpinternational.mx\/static-testing\/"},"modified":"2026-10-13T23:10:48","modified_gmt":"2026-10-13T23:10:48","slug":"static-testing","status":"publish","type":"page","link":"https:\/\/mtpinternational.mx\/en\/static-testing\/","title":{"rendered":"Static Testing"},"content":{"rendered":"

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For teams that detect defects before execution<\/p>\n

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Static Testing: Review that stops defects in design, not in production<\/h1>\n

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We anticipate defects in code, design, and requirements, so that each release arrives with evidence and without surprises.<\/p>\n

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Trusted by organizations that stop defects in design, before they reach production<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.27.6″ _module_preset=”default” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][dsm_image_carousel gallery_ids=”9763,9764,9765,9766,9767,9768,9769,10070,9771,9772,9773,9774,9775,9776,9777,9778,9779,9780,9781,9782,9783,9784,9785,9786,9787,9788,9789,9790,9791,9792,9793″ lazyload=”on” centered_slides=”on” slide_to_show=”6″ slide_to_scroll=”3″ speed=”1400″ autoplay_speed=”1110″ pause_on_hover=”on” space_between=”50″ arrows=”off” slide_to_show_tablet=”6″ slide_to_show_phone=”3″ slide_to_show_last_edited=”on|phone” _builder_version=”4.27.6″ _module_preset=”default” custom_padding=”30px||30px||true|false” locked=”off” global_colors_info=”{}”][\/dsm_image_carousel][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Features” _builder_version=”4.27.6″ _module_preset=”default” background_enable_color=”off” background_enable_image=”off” background_position=”bottom_right” locked=”off” collapsed=”on” global_colors_info=”{}”][et_pb_row column_structure=”1_2,1_2″ make_equal=”on” _builder_version=”4.27.7″ _module_preset=”default” custom_css_main_element=”align-items:center;” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.7″ _module_preset=”_initial” text_font=”Inter|800||on|||||” text_text_color=”#F65F34″ text_font_size=”14px” header_2_text_align=”left” header_2_text_color=”#F65F34″ header_2_font_size=”23px” custom_margin=”||5px||false|false” custom_padding=”||||false|false” global_colors_info=”{}”]<\/p>\n

The problem isn’t code testing, it’s what’s missing behind it<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.27.7″ _module_preset=”_initial” header_2_font=”Inter|700|||||||” header_2_font_size=”35px” custom_margin=”||||false|false” custom_padding=”||||false|false” header_2_font_size_tablet=”35px” header_2_font_size_phone=”1.9rem” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n

When defects travel to production, the damage is already done<\/h2>\n

[\/et_pb_text][et_pb_text _builder_version=”4.27.7″ _module_preset=”_initial” text_font=”Poppins|500|||||||” text_line_height=”1.4em” text_orientation=”justified” global_colors_info=”{}”]Three scenarios you’ll recognize if you manage software quality in a regulated environment.[\/et_pb_text][et_pb_blurb title=”No static review at the source” use_icon=”on” font_icon=”||fa||900″ icon_color=”#1E9BB0″ image_icon_background_color=”RGBA(255,255,255,0)” icon_placement=”left” image_icon_width=”30px” _builder_version=”4.27.7″ _module_preset=”_initial” header_font=”|600|||||||” header_text_color=”#0a0a0a” header_letter_spacing=”0em” body_font=”Poppins||||||||” body_text_align=”justify” body_font_size=”15px” body_letter_spacing=”0em” body_line_height=”1em” body_ul_line_height=”1.2em” background_enable_color=”off” image_icon_custom_margin=”||||false|false” image_icon_custom_padding=”10px|10px|10px|10px|true|true” custom_margin=”||||false|false” custom_padding=”||||false|false” custom_padding_tablet=”30px|30px|30px|30px|true|true” custom_padding_phone=”20px|20px|20px|20px|true|true” custom_padding_last_edited=”on|phone” border_radii_image=”on|50px|50px|50px|50px” border_width_all_image=”2px” border_color_all_image=”#1E9BB0″ locked=”off” global_colors_info=”{}”]<\/p>\n

Critical findings are discovered during acceptance testing or in production. SQL injection, credentials in code, financial logic errors \u2014 all reach the pipeline because no one looked for them earlier. <\/p>\n

[\/et_pb_blurb][et_pb_blurb title=”Review without criteria or scalability” use_icon=”on” font_icon=”||divi||400″ icon_color=”#1E9BB0″ image_icon_background_color=”RGBA(255,255,255,0)” icon_placement=”left” image_icon_width=”30px” _builder_version=”4.27.6″ _module_preset=”_initial” header_font=”|600|||||||” header_text_color=”#0a0a0a” header_letter_spacing=”0em” body_font=”Poppins||||||||” body_text_align=”justify” body_font_size=”15px” body_letter_spacing=”0em” body_line_height=”1em” body_ul_line_height=”1.2em” background_enable_color=”off” image_icon_custom_margin=”||||false|false” image_icon_custom_padding=”10px|10px|10px|10px|true|true” custom_margin=”||||false|false” custom_padding=”||||false|false” custom_padding_tablet=”30px|30px|30px|30px|true|true” custom_padding_phone=”20px|20px|20px|20px|true|true” custom_padding_last_edited=”on|phone” border_radii_image=”on|50px|50px|50px|50px” border_width_all_image=”2px” border_color_all_image=”#1E9BB0″ locked=”off” global_colors_info=”{}”]<\/p>\n

There are peer reviews and static analysis, but without exit criteria or rules adjusted to risk. Two or three engineers are the bottleneck. The backlog grows faster than it closes. <\/p>\n

[\/et_pb_blurb][et_pb_blurb title=”AI without governance or traceability” use_icon=”on” font_icon=”||divi||400″ icon_color=”#1E9BB0″ image_icon_background_color=”RGBA(255,255,255,0)” icon_placement=”left” image_icon_width=”30px” _builder_version=”4.27.7″ _module_preset=”_initial” header_font=”|600|||||||” header_text_color=”#0a0a0a” header_letter_spacing=”0em” body_font=”Poppins||||||||” body_text_align=”justify” body_font_size=”15px” body_letter_spacing=”0em” body_line_height=”1em” body_ul_line_height=”1.2em” background_enable_color=”off” image_icon_custom_margin=”||||false|false” image_icon_custom_padding=”10px|10px|10px|10px|true|true” custom_margin=”||||false|false” custom_padding=”||||false|false” custom_padding_tablet=”30px|30px|30px|30px|true|true” custom_padding_phone=”20px|20px|20px|20px|true|true” custom_padding_last_edited=”on|phone” border_radii_image=”on|50px|50px|50px|50px” border_width_all_image=”2px” border_color_all_image=”#1E9BB0″ locked=”off” global_colors_info=”{}”]<\/p>\n

Static analysis in the pipeline, AI generating recommendations that no one validates. Findings everywhere and no one prioritizing. When the audit asks what was accepted and why, there’s no defensible answer. <\/p>\n

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<\/strong>Whatever your scenario, the root cause is the same: defects are not sought where they are 100x cheaper to fix. That’s what we solve from the design phase. <\/p>\n

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The cost of a defect not detected in time<\/p>\n

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The same defect, 100 times more expensive if it reaches production<\/h2>\n

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More expensive to fix a defect in production vs. detected in design<\/span>
\n– IBM Systems Sciences Institute<\/span><\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.27.7″ _module_preset=”_initial” text_font=”Poppins||||||||” text_font_size=”13px” text_line_height=”1.2em” background_color=”#FFFFFF” custom_padding=”5px||5px||true|false” border_radii=”on|12px|12px|12px|12px” global_colors_info=”{}”]<\/p>\n\n\n\n
67%<\/span><\/strong><\/td>\n\n

of software defects
<\/strong>are introduced in design or requirements (Capers Jones \/ CISQ)<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/et_pb_text][et_pb_text _builder_version=”4.27.7″ _module_preset=”_initial” text_font=”Poppins||||||||” text_font_size=”13px” text_line_height=”1.2em” background_color=”#FFFFFF” custom_padding=”5px||5px||true|false” border_radii=”on|12px|12px|12px|12px” global_colors_info=”{}”]<\/p>\n\n\n\n
45%<\/span><\/strong><\/td>\n\n

of developers’ time
<\/strong>is spent on maintenance and bug fixing (Gartner G00813269, 2024)<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/et_pb_text][et_pb_text _builder_version=”4.27.7″ _module_preset=”_initial” text_font=”Poppins||||||||” text_font_size=”13px” text_line_height=”1.2em” background_color=”#FFFFFF” custom_padding=”5px||5px||true|false” border_radii=”on|12px|12px|12px|12px” global_colors_info=”{}”]<\/p>\n\n\n\n
TMMi5<\/span><\/strong><\/td>\nFirst certification of its kind in the world
\n<\/strong>MTP International<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.19.2″ _module_preset=”default” custom_padding_tablet=”0vw||||false|false” custom_padding_phone=”0vw||||false|false” custom_padding_last_edited=”off|desktop” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.8″ _module_preset=”_initial” text_font=”Inter|700|||||||” text_text_color=”#333333″ text_font_size=”25px” text_line_height=”1.4em” hover_enabled=”0″ locked=”off” global_colors_info=”{}” text_orientation=”justified” sticky_enabled=”0″]<\/p>\n

<\/strong>Where does the real cost appear in your organization?<\/p>\n

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Critical findings<\/strong> (SQL injection, credentials in code, financial logic errors) detected in production, not in review<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=”on” font_icon=”||fa||900″ icon_color=”#F65F34″ icon_placement=”left” image_icon_width=”20px” _builder_version=”4.27.7″ _module_preset=”_initial” header_level=”h3″ header_font=”Poppins||||||||” header_font_size=”18px” body_font=”Poppins||||||||” body_line_height=”1.2em” image_icon_custom_margin=”0px|0px|0px|0px|true|true” image_icon_custom_padding=”0px|0px|0px|0px|true|true” locked=”off” global_colors_info=”{}” text_orientation=”justified”]<\/p>\n

CNBV, Condusef, or PCI-DSS audits<\/strong> requesting evidence that the team reconstructs in days, not minutes<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=”on” font_icon=”||fa||900″ icon_color=”#F65F34″ icon_placement=”left” image_icon_width=”20px” _builder_version=”4.27.7″ _module_preset=”_initial” header_level=”h3″ header_font=”Poppins||||||||” header_font_size=”18px” body_font=”Poppins||||||||” body_line_height=”1.2em” image_icon_custom_margin=”0px|0px|0px|0px|true|true” image_icon_custom_padding=”0px|0px|0px|0px|true|true” locked=”off” global_colors_info=”{}” text_orientation=”justified”]<\/p>\n

Emergency fixes<\/strong> that throw off the quarterly budget, release after release<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=”on” font_icon=”||fa||900″ icon_color=”#F65F34″ icon_placement=”left” image_icon_width=”20px” _builder_version=”4.27.7″ _module_preset=”_initial” header_level=”h3″ header_font=”Poppins||||||||” header_font_size=”18px” body_font=”Poppins||||||||” body_line_height=”1.2em” image_icon_custom_margin=”0px|0px|0px|0px|true|true” image_icon_custom_padding=”0px|0px|0px|0px|true|true” locked=”off” global_colors_info=”{}” text_orientation=”justified”]<\/p>\n

Engineers spending 45% of their time<\/strong> on maintenance and bugs instead of building new capabilities (Gartner 2024)<\/p>\n

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Lagging behind organizations<\/strong> that already operate AI in review with governance and traceability<\/p>\n

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Uncontrolled backlog of findings<\/strong> \u2014 two or three engineers as a bottleneck for the entire review, while the backlog grows faster than it closes<\/p>\n

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MTP Framework, Omniatest\u00ae applied to Static Testing<\/p>\n

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Four reasons to trust MTP with your first static quality gate<\/h2>\n

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Proven methodology, certified specialists, and controlled AI \u2014 all within a results-oriented model.<\/p>\n

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What changes when testing is applied from the start<\/p>\n

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Before and after implementing static review with MTP<\/h2>\n

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Critical findings, severity, and minimum coverage defined. Management receives early visibility of risk, not surprises on launch day. <\/p>\n<\/div>\n

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Defects detected in the static phase avoid the 100x cost of fixing them in production. Emergency fixes that previously disrupted the quarter no longer occur. <\/p>\n<\/div>\n

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Engineering time currently spent on maintenance and bugs returns to building new functionalities that generate business value.<\/p>\n<\/div>\n

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Evidence readily available for CNBV, Condusef, PCI-DSS, or SOX audits. No reconstruction, no pre-audit stress, no findings due to lack of documentation. <\/p>\n<\/div>\n

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Predictive AI focuses review efforts on modules with the highest financial, regulatory, and security criticality \u2014 not on the noise of thousands of minor findings.<\/p>\n<\/div>\n

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Each release arrives with acceptance criteria met, complete traceability, and the backing of TMMi Level 5 behind every control point.<\/p>\n<\/div>\n

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CODE TESTING OPERATIONAL PROCESS<\/p>\n

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From zero to static quality gate in the real pipeline, in one sprint<\/h2>\n

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Potential return, projected total cost, current coverage, and regulatory gaps. Delivered in 5 business days. <\/p>\n

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Financial, regulatory, and security. We prioritize which code to review first based on impact and risk exposure. <\/p>\n

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Exit criteria, peer review, and static analysis by layer, aligned with applicable client regulations.<\/p>\n

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Jenkins, Azure DevOps, GitLab, or GitHub Actions, adjusted by module criticality. Quality gates active from the first sprint. <\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.27.6″ _module_preset=”default” background_color=”rgba(255,255,255,0.03)” custom_padding=”30px|20px|30px|20px|true|true” border_radii=”on|12px|12px|12px|12px” border_color_all=”#E4EBEE” global_colors_info=”{}”][et_pb_blurb title=”Controlled AI” use_icon=”on” font_icon=”||fa||400″ icon_color=”#F65F34″ image_icon_width=”40px” icon_alignment=”left” _builder_version=”4.27.6″ _module_preset=”_initial” header_level=”h3″ header_font=”Inter|700|||||||” header_text_align=”left” header_text_color=”#FFFFFF” header_font_size=”17px” body_font=”Poppins||||||||” body_text_align=”justify” body_text_color=”#FFFFFF” body_font_size=”15px” body_line_height=”1.4em” custom_padding=”||||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n

Predictive prioritization, reduced false positives. Every critical decision goes through an MTP expert reviewer and is recorded with full traceability. <\/p>\n

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Quarterly rule adjustment, progressive noise reduction, expansion of coverage to new modules as the backlog grows.<\/p>\n

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Proven scale in real projects<\/p>\n

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Proven scale in real projects, same evidence requirements<\/h2>\n

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Financial Sector<\/p>\n

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